NEUDM/towe · Datasets at Hugging Face

task_type stringclasses 1 value	dataset stringclasses 1 value	input sequence	output stringlengths 14 75	situation stringclasses 1 value	instruct stringclasses 1 value
generation	towe	[ "The service , wine selection , ambiance are all outstanding and deserve recognition ." ]	['service', ['outstanding']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The service , wine selection , ambiance are all outstanding and deserve recognition ." ]	['wine', ['outstanding']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The service , wine selection , ambiance are all outstanding and deserve recognition ." ]	['ambiance', ['outstanding']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "We were seated promptly as we had reservations , however after that the service was slow ." ]	['service', ['slow']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "It 's really also the service , is good and the waiters are friendly ." ]	['service', ['good']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "It 's really also the service , is good and the waiters are friendly ." ]	['waiters', ['friendly']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food was pretty good , but a little flavorless and the portions very small , including dessert ." ]	['food', ['good', 'flavorless']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food was pretty good , but a little flavorless and the portions very small , including dessert ." ]	['dessert', ['small']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food was pretty good , but a little flavorless and the portions very small , including dessert ." ]	['portions', ['small']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Lived in Shanghai most of my life and thought the food was comparable to the flagship Green Bo restaurant there ." ]	['food', ['comparable']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ." ]	['food', ['recommend']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ." ]	['ambience', ['recommend']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ." ]	['service', ['recommend', 'wonderful']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "All the NYU students love this place so it makes for a fun young atmosphere ." ]	['atmosphere', ['fun']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food here does a great service to the name ( Cantonese that is ... ) ." ]	['food', ['great']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food here does a great service to the name ( Cantonese that is ... ) ." ]	['Cantonese', ['great']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "But , nothing stands out about the cooking ." ]	['cooking', ['nothing']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Joya used to be a cool spot with decent food and a colorful - if not relaxed - atmosphere ." ]	['food', ['decent']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Joya used to be a cool spot with decent food and a colorful - if not relaxed - atmosphere ." ]	['atmosphere', ['colorful']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ." ]	['Prix', ['worth']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ." ]	['quantity', ['more']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ." ]	['quality', ['more']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ." ]	['eggs', ['worst']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ." ]	['hollondaise', ['failed']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ." ]	['brunch', ['worst']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I work near-by , and they have the BEST oatmeal in the neighborhood- not a packaged or quick-cooked item ." ]	['oatmeal', ['BEST']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Too bad the food was n't of the same heritage ." ]	['food', ['bad']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The menu looked good , except for offering the Chilean Sea Bass , but the server does not offer up the specials that were written on the board outside ." ]	['menu', ['good']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The menu looked good , except for offering the Chilean Sea Bass , but the server does not offer up the specials that were written on the board outside ." ]	['Chilean', ['except']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food was really good , I had the onion soup and it was one of the best ever ." ]	['food', ['good']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food was really good , I had the onion soup and it was one of the best ever ." ]	['onion', ['best']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Since it literally is a complete hole in the wall , it 's a bit intimidating at first , but you get over that very quickly as soon as the friendly staff welcomes you - do n't hesitate to ask for help with what to get ." ]	['staff', ['friendly']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "When he finally did , he was unable to make a gin and tonic -- could n't find tonic ." ]	['gin', ['unable']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The dim sum is ok but does n't taste that fresh , and the little dishes do n't look steamy hot as they should ( also note lack of Chinese here ) ." ]	['dim', ['ok']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The dim sum is ok but does n't taste that fresh , and the little dishes do n't look steamy hot as they should ( also note lack of Chinese here ) ." ]	['little', ['do']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The service is ok , some of the people did n't get what they asked for ." ]	['service', ['ok']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "If you want good authentic Thai this place is not the place to go ." ]	['Thai', ['good', 'authentic']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I recommend getting a reservation even though we saw people seated without one ." ]	['reservation', ['recommend']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The only thing I moderately enjoyed was their Grilled Chicken special with Edamame Puree ." ]	['Grilled', ['enjoyed']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Staff is very accomodating ." ]	['Staff', ['accomodating']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Very popular style Izakaya ( Sake and small portion of sake-friendly dishes ) ." ]	['dishes', ['sake-friendly']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Very popular style Izakaya ( Sake and small portion of sake-friendly dishes ) ." ]	['portion', ['small']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food was terrific and the service classy , attentive , without being overbearing ." ]	['food', ['terrific']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food was terrific and the service classy , attentive , without being overbearing ." ]	['service', ['classy', 'attentive', 'without']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "This is an amazing place to try some roti rolls ." ]	['roti', ['try']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Fresh ingredients and everything is made to order ." ]	['ingredients', ['Fresh']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "We have never had any problems with charging the meal or the tip , and the food was delivered quickly , but we live only a few minutes walk from them ." ]	['meal', ['never']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "We have never had any problems with charging the meal or the tip , and the food was delivered quickly , but we live only a few minutes walk from them ." ]	['food', ['delivered']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "We have never had any problems with charging the meal or the tip , and the food was delivered quickly , but we live only a few minutes walk from them ." ]	['tip', ['quickly']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Quick and friendly service ." ]	['service', ['Quick', 'friendly']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "They are tasty , but I suggest only eating one with meat because they tend not to mesh that well with the average American digestive system ." ]	['meat', ['tasty', 'suggest']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Try the hot dogs too , they 're snappy and delicious ." ]	['hot', ['Try', 'snappy', 'delicious']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Delivery is fast too ." ]	['Delivery', ['fast']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The noise level was unbearable , conversation impossible ." ]	['noise', ['unbearable']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Personal pans are the perfect size for those hungry nights ." ]	['Personal', ['perfect']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Highly recommended is the Spicy Fried Clam Rolls and Spider Rolls ." ]	['Spicy', ['recommended']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Highly recommended is the Spicy Fried Clam Rolls and Spider Rolls ." ]	['Spider', ['recommended']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "One of the earlier people commenting on the restaurant did not get the that some experimenting is going on with the menu in a positive way ." ]	['menu', ['positive']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The atmosphere is great if your looking for a laid back scene and an inexpensive way to spend a weekend afternoon ." ]	['atmosphere', ['great']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Odd for Ave B , not just odd , The place attracts an eclectic crowd to say the least ." ]	['place', ['odd']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "just got back from lunch at Tamarind and it was excellent ." ]	['lunch', ['excellent']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "head and shoulders above its neighboors on east 6 st , taj mahal is also very comparable , in food quality , to the much overpraised ( and underdeserving ) baluchi 's ." ]	['food', ['comparable']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "As we were sitting eating the subpar food the manager proceeded to berate a couple of his employees for putting out the wrong containers for condiments and explained to them how expensive these containers were ." ]	['food', ['subpar']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "As we were sitting eating the subpar food the manager proceeded to berate a couple of his employees for putting out the wrong containers for condiments and explained to them how expensive these containers were ." ]	['containers', ['expensive']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Great Indian food and the service is incredible ." ]	['Indian', ['Great']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Great Indian food and the service is incredible ." ]	['service', ['incredible']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Decor is nice and minimalist , food simple yet very well presented and cooked , and the wine list matches the food very well ." ]	['Decor', ['nice', 'minimalist']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Decor is nice and minimalist , food simple yet very well presented and cooked , and the wine list matches the food very well ." ]	['food', ['simple', 'well']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Decor is nice and minimalist , food simple yet very well presented and cooked , and the wine list matches the food very well ." ]	['wine', ['well']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I had the salmon dish and while it was fine , for the price paid , I expected it to have some type of flavor ." ]	['salmon', ['fine']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I had the salmon dish and while it was fine , for the price paid , I expected it to have some type of flavor ." ]	['flavor', ['fine']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I had the salmon dish and while it was fine , for the price paid , I expected it to have some type of flavor ." ]	['price', ['fine']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "We ordered a tuna melt - it came with out cheese which just made it a tuna sandwich ." ]	['tuna', ['with']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "We ordered a tuna melt - it came with out cheese which just made it a tuna sandwich ." ]	['cheese', ['with']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "We ordered a tuna melt - it came with out cheese which just made it a tuna sandwich ." ]	['tuna', ['with']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Especially liked chicken tikka and the naan , and the dals ." ]	['chicken', ['liked']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Especially liked chicken tikka and the naan , and the dals ." ]	['naan', ['liked']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Especially liked chicken tikka and the naan , and the dals ." ]	['dals', ['liked']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The waiters were not attentive except that the bill turned up on the table before we were finished ." ]	['waiters', ['attentive']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The restaurant looks out over beautiful green lawns to the Hudson River and the Statue of Liberty ." ]	['lawns', ['beautiful']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "My wife and I always enjoy the young , not always well trained but nevertheless friendly , staff , all of whom have a story ." ]	['staff', ['enjoy', 'young', 'not', 'friendly']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The sangria was pretty tasty and good on a hot muggy day ." ]	['sangria', ['tasty', 'good']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "For the people who want great food plus great service , Roxy is a place to AVOID !" ]	['food', ['great']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "For the people who want great food plus great service , Roxy is a place to AVOID !" ]	['service', ['great']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "I had the best ravioli ever ." ]	['ravioli', ['best']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "While the menu is n't especially groundbreaking , everything I 've tried so far has been well-executed and tasty ." ]	['menu', ['groundbreaking']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Ive been here a bunch of times now and the service is always outstanding ." ]	['service', ['outstanding']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Quite frankly , this is some of the worst sushi I have ever tried ." ]	['sushi', ['worst']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food is great , service is ok ." ]	['food', ['great']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The food is great , service is ok ." ]	['service', ['ok']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The overall price tag was very very expensive , something I did expect ." ]	['price', ['expensive']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Spice is great Thai food , love the inexpensive appetizers ." ]	['Thai', ['great']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Spice is great Thai food , love the inexpensive appetizers ." ]	['appetizers', ['love', 'inexpensive']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "The service was attentive ." ]	['service', ['attentive']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "He not only makes his own homemade mozzarella , but every pie is ultra fresh ." ]	['mozzarella', ['homemade']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "He not only makes his own homemade mozzarella , but every pie is ultra fresh ." ]	['pie', ['ultra']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "Fish was overdone ." ]	['Fish', ['overdone']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside ." ]	['main', ['spectacular']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside ." ]	['ceiling', ['spectacular', 'hand-painted', 'high']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]
generation	towe	[ "We visited Bread Bar during January restaurant week and were so pleased with the menu selections and service ." ]	['menu', ['pleased']]	none	Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The service , wine selection , ambiance are all outstanding and deserve recognition ." ]

['service', ['outstanding']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The service , wine selection , ambiance are all outstanding and deserve recognition ." ]

['wine', ['outstanding']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The service , wine selection , ambiance are all outstanding and deserve recognition ." ]

['ambiance', ['outstanding']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "We were seated promptly as we had reservations , however after that the service was slow ." ]

['service', ['slow']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "It 's really also the service , is good and the waiters are friendly ." ]

['service', ['good']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "It 's really also the service , is good and the waiters are friendly ." ]

['waiters', ['friendly']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food was pretty good , but a little flavorless and the portions very small , including dessert ." ]

['food', ['good', 'flavorless']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food was pretty good , but a little flavorless and the portions very small , including dessert ." ]

['dessert', ['small']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food was pretty good , but a little flavorless and the portions very small , including dessert ." ]

['portions', ['small']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Lived in Shanghai most of my life and thought the food was comparable to the flagship Green Bo restaurant there ." ]

['food', ['comparable']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ." ]

['food', ['recommend']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ." ]

['ambience', ['recommend']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I highly recommend Cafe St. Bart 's for their food , the ambience and wonderful service ." ]

['service', ['recommend', 'wonderful']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "All the NYU students love this place so it makes for a fun young atmosphere ." ]

['atmosphere', ['fun']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food here does a great service to the name ( Cantonese that is ... ) ." ]

['food', ['great']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food here does a great service to the name ( Cantonese that is ... ) ." ]

['Cantonese', ['great']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "But , nothing stands out about the cooking ." ]

['cooking', ['nothing']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Joya used to be a cool spot with decent food and a colorful - if not relaxed - atmosphere ." ]

['food', ['decent']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Joya used to be a cool spot with decent food and a colorful - if not relaxed - atmosphere ." ]

['atmosphere', ['colorful']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ." ]

['Prix', ['worth']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ." ]

['quantity', ['more']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The Prix Fixe menu is worth every penny and you get more than enough ( both in quantity AND quality ) ." ]

['quality', ['more']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ." ]

['eggs', ['worst']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ." ]

['hollondaise', ['failed']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I had their eggs benedict for brunch , which were the worst in my entire life , I tried removing the hollondaise sauce completely that was how failed it was ." ]

['brunch', ['worst']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I work near-by , and they have the BEST oatmeal in the neighborhood- not a packaged or quick-cooked item ." ]

['oatmeal', ['BEST']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Too bad the food was n't of the same heritage ." ]

['food', ['bad']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The menu looked good , except for offering the Chilean Sea Bass , but the server does not offer up the specials that were written on the board outside ." ]

['menu', ['good']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The menu looked good , except for offering the Chilean Sea Bass , but the server does not offer up the specials that were written on the board outside ." ]

['Chilean', ['except']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food was really good , I had the onion soup and it was one of the best ever ." ]

['food', ['good']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food was really good , I had the onion soup and it was one of the best ever ." ]

['onion', ['best']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Since it literally is a complete hole in the wall , it 's a bit intimidating at first , but you get over that very quickly as soon as the friendly staff welcomes you - do n't hesitate to ask for help with what to get ." ]

['staff', ['friendly']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "When he finally did , he was unable to make a gin and tonic -- could n't find tonic ." ]

['gin', ['unable']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The dim sum is ok but does n't taste that fresh , and the little dishes do n't look steamy hot as they should ( also note lack of Chinese here ) ." ]

['dim', ['ok']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The dim sum is ok but does n't taste that fresh , and the little dishes do n't look steamy hot as they should ( also note lack of Chinese here ) ." ]

['little', ['do']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The service is ok , some of the people did n't get what they asked for ." ]

['service', ['ok']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "If you want good authentic Thai this place is not the place to go ." ]

['Thai', ['good', 'authentic']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I recommend getting a reservation even though we saw people seated without one ." ]

['reservation', ['recommend']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The only thing I moderately enjoyed was their Grilled Chicken special with Edamame Puree ." ]

['Grilled', ['enjoyed']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Staff is very accomodating ." ]

['Staff', ['accomodating']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Very popular style Izakaya ( Sake and small portion of sake-friendly dishes ) ." ]

['dishes', ['sake-friendly']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Very popular style Izakaya ( Sake and small portion of sake-friendly dishes ) ." ]

['portion', ['small']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food was terrific and the service classy , attentive , without being overbearing ." ]

['food', ['terrific']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food was terrific and the service classy , attentive , without being overbearing ." ]

['service', ['classy', 'attentive', 'without']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "This is an amazing place to try some roti rolls ." ]

['roti', ['try']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Fresh ingredients and everything is made to order ." ]

['ingredients', ['Fresh']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "We have never had any problems with charging the meal or the tip , and the food was delivered quickly , but we live only a few minutes walk from them ." ]

['meal', ['never']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "We have never had any problems with charging the meal or the tip , and the food was delivered quickly , but we live only a few minutes walk from them ." ]

['food', ['delivered']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "We have never had any problems with charging the meal or the tip , and the food was delivered quickly , but we live only a few minutes walk from them ." ]

['tip', ['quickly']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Quick and friendly service ." ]

['service', ['Quick', 'friendly']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "They are tasty , but I suggest only eating one with meat because they tend not to mesh that well with the average American digestive system ." ]

['meat', ['tasty', 'suggest']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Try the hot dogs too , they 're snappy and delicious ." ]

['hot', ['Try', 'snappy', 'delicious']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Delivery is fast too ." ]

['Delivery', ['fast']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The noise level was unbearable , conversation impossible ." ]

['noise', ['unbearable']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Personal pans are the perfect size for those hungry nights ." ]

['Personal', ['perfect']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Highly recommended is the Spicy Fried Clam Rolls and Spider Rolls ." ]

['Spicy', ['recommended']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Highly recommended is the Spicy Fried Clam Rolls and Spider Rolls ." ]

['Spider', ['recommended']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "One of the earlier people commenting on the restaurant did not get the that some experimenting is going on with the menu in a positive way ." ]

['menu', ['positive']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The atmosphere is great if your looking for a laid back scene and an inexpensive way to spend a weekend afternoon ." ]

['atmosphere', ['great']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Odd for Ave B , not just odd , The place attracts an eclectic crowd to say the least ." ]

['place', ['odd']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "just got back from lunch at Tamarind and it was excellent ." ]

['lunch', ['excellent']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "head and shoulders above its neighboors on east 6 st , taj mahal is also very comparable , in food quality , to the much overpraised ( and underdeserving ) baluchi 's ." ]

['food', ['comparable']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "As we were sitting eating the subpar food the manager proceeded to berate a couple of his employees for putting out the wrong containers for condiments and explained to them how expensive these containers were ." ]

['food', ['subpar']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "As we were sitting eating the subpar food the manager proceeded to berate a couple of his employees for putting out the wrong containers for condiments and explained to them how expensive these containers were ." ]

['containers', ['expensive']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Great Indian food and the service is incredible ." ]

['Indian', ['Great']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Great Indian food and the service is incredible ." ]

['service', ['incredible']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Decor is nice and minimalist , food simple yet very well presented and cooked , and the wine list matches the food very well ." ]

['Decor', ['nice', 'minimalist']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Decor is nice and minimalist , food simple yet very well presented and cooked , and the wine list matches the food very well ." ]

['food', ['simple', 'well']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Decor is nice and minimalist , food simple yet very well presented and cooked , and the wine list matches the food very well ." ]

['wine', ['well']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I had the salmon dish and while it was fine , for the price paid , I expected it to have some type of flavor ." ]

['salmon', ['fine']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I had the salmon dish and while it was fine , for the price paid , I expected it to have some type of flavor ." ]

['flavor', ['fine']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I had the salmon dish and while it was fine , for the price paid , I expected it to have some type of flavor ." ]

['price', ['fine']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "We ordered a tuna melt - it came with out cheese which just made it a tuna sandwich ." ]

['tuna', ['with']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "We ordered a tuna melt - it came with out cheese which just made it a tuna sandwich ." ]

['cheese', ['with']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "We ordered a tuna melt - it came with out cheese which just made it a tuna sandwich ." ]

['tuna', ['with']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Especially liked chicken tikka and the naan , and the dals ." ]

['chicken', ['liked']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Especially liked chicken tikka and the naan , and the dals ." ]

['naan', ['liked']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Especially liked chicken tikka and the naan , and the dals ." ]

['dals', ['liked']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The waiters were not attentive except that the bill turned up on the table before we were finished ." ]

['waiters', ['attentive']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The restaurant looks out over beautiful green lawns to the Hudson River and the Statue of Liberty ." ]

['lawns', ['beautiful']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "My wife and I always enjoy the young , not always well trained but nevertheless friendly , staff , all of whom have a story ." ]

['staff', ['enjoy', 'young', 'not', 'friendly']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The sangria was pretty tasty and good on a hot muggy day ." ]

['sangria', ['tasty', 'good']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "For the people who want great food plus great service , Roxy is a place to AVOID !" ]

['food', ['great']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "For the people who want great food plus great service , Roxy is a place to AVOID !" ]

['service', ['great']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "I had the best ravioli ever ." ]

['ravioli', ['best']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "While the menu is n't especially groundbreaking , everything I 've tried so far has been well-executed and tasty ." ]

['menu', ['groundbreaking']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Ive been here a bunch of times now and the service is always outstanding ." ]

['service', ['outstanding']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Quite frankly , this is some of the worst sushi I have ever tried ." ]

['sushi', ['worst']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food is great , service is ok ." ]

['food', ['great']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The food is great , service is ok ." ]

['service', ['ok']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The overall price tag was very very expensive , something I did expect ." ]

['price', ['expensive']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Spice is great Thai food , love the inexpensive appetizers ." ]

['Thai', ['great']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Spice is great Thai food , love the inexpensive appetizers ." ]

['appetizers', ['love', 'inexpensive']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "The service was attentive ." ]

['service', ['attentive']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "He not only makes his own homemade mozzarella , but every pie is ultra fresh ." ]

['mozzarella', ['homemade']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "He not only makes his own homemade mozzarella , but every pie is ultra fresh ." ]

['pie', ['ultra']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "Fish was overdone ." ]

['Fish', ['overdone']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside ." ]

['main', ['spectacular']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "When you 're sitting in their main dining room ( which has a spectacular , hand-painted high ceiling ) you 'd never know there was a world outside ." ]

['ceiling', ['spectacular', 'hand-painted', 'high']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]

generation

towe

[ "We visited Bread Bar during January restaurant week and were so pleased with the menu selections and service ." ]

['menu', ['pleased']]

none

Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "It 's fast , light , and simple to use ." Output: ['use', ['fast', 'light', 'simple']]