task_type
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sequence | output
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generation | towe | [
"The portions are now very small , the sauces are overly ambitious usually inedible while the service is still good , the restaurant , due to its popularity , seems frantic ."
] | ['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']] |
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generation | towe | [
"The portions are now very small , the sauces are overly ambitious usually inedible while the service is still good , the restaurant , due to its popularity , seems frantic ."
] | ['sauces', ['ambitious', 'inedible']] | 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']] |
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generation | towe | [
"The portions are now very small , the sauces are overly ambitious usually inedible while the service is still good , the restaurant , due to its popularity , seems frantic ."
] | ['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']] |
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generation | towe | [
"The owner is very friendly and a great guy , go try his pizza , you 'll like it !"
] | ['owner', ['friendly', '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']] |
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generation | towe | [
"The owner is very friendly and a great guy , go try his pizza , you 'll like it !"
] | ['pizza', ['try', 'like']] | 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']] |
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generation | towe | [
"The atmosphere is great ! ! !"
] | ['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']] |
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generation | towe | [
"With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."
] | ['food', ['overpriced']] | 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']] |
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generation | towe | [
"With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."
] | ['wait-staff', ['arrogant']] | 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']] |
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generation | towe | [
"With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."
] | ['service', ['clumsy']] | 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']] |
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generation | towe | [
"With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."
] | ['management', ['does']] | 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']] |
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generation | towe | [
"With so many good restaurants on the UWS , I do n't need overpriced food , absurdly arrogant wait-staff who do n't recognize they work at a glorified diner , clumsy service , and management that does n't care ."
] | ['diner', ['glorified']] | 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']] |
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generation | towe | [
"I tend to judge a sushi restaurant by its sea urchin , which was heavenly at sushi rose ."
] | ['sea', ['heavenly']] | 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']] |
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generation | towe | [
"The service is a little scatty at times but all is forgiven when the food arrives ."
] | ['service', ['scatty']] | 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']] |
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generation | towe | [
"The service is a little scatty at times but all is forgiven when the food arrives ."
] | ['food', ['forgiven']] | 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']] |
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generation | towe | [
"The bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ."
] | ['bruscetta', ['soggy']] | 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']] |
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generation | towe | [
"The bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ."
] | ['salads', ['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']] |
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generation | towe | [
"The bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ."
] | ['dishes', ['hot']] | 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']] |
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generation | towe | [
"The bruscetta is a bit soggy , but the salads were fresh , included a nice mix of greens ( not iceberg ) all dishes are served piping hot from the kitchen ."
] | ['mix', ['nice']] | 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']] |
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generation | towe | [
"The atmosphere is n't the greatest , but I suppose that 's how they keep the prices down ."
] | ['atmosphere', ['is']] | 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']] |
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generation | towe | [
"The atmosphere is n't the greatest , but I suppose that 's how they keep the prices down ."
] | ['prices', ['down']] | 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']] |
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generation | towe | [
"The pickles were great addition ."
] | ['pickles', ['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']] |
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generation | towe | [
"If your favorite Chinese food is General Tao chicken , then this is NOT your place ."
] | ['General', ['favorite']] | 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']] |
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generation | towe | [
"You must try the shrimp appetizers ."
] | ['shrimp', ['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']] |
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generation | towe | [
"Not only is the cuisine the best around , the service has always been attentive and charming ."
] | ['cuisine', ['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']] |
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generation | towe | [
"Not only is the cuisine the best around , the service has always been attentive and charming ."
] | ['service', ['attentive', 'charming']] | 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']] |
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generation | towe | [
"The production is a symphony , alot of fun to experience.The food sublime for the most part ."
] | ['food', ['sublime']] | 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']] |
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generation | towe | [
"Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ."
] | ['Waiters', ['forget']] | 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']] |
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generation | towe | [
"Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ."
] | ['food', ['tiny']] | 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']] |
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generation | towe | [
"Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ."
] | ['drinks', ['forget']] | 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']] |
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generation | towe | [
"Waiters tend to forget drinks completely , food portions are so tiny , two people have trouble sharing one entree ."
] | ['entree', ['trouble']] | 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']] |
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generation | towe | [
"my wife and i have been going to nyc for years and would n't miss roxy , s food is expensive but it 's new york !"
] | ['food', ['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']] |
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generation | towe | [
"Interesting selection , good wines , service fine , fun decor ."
] | ['wines', ['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']] |
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generation | towe | [
"Interesting selection , good wines , service fine , fun decor ."
] | ['service', ['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']] |
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generation | towe | [
"Interesting selection , good wines , service fine , fun decor ."
] | ['decor', ['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']] |
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generation | towe | [
"But the thing that my wife and I hated was it was so loud and it felt like ' bar ' or ' pub ' ."
] | ['bar', ['loud']] | 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']] |
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generation | towe | [
"But the thing that my wife and I hated was it was so loud and it felt like ' bar ' or ' pub ' ."
] | ['pub', ['loud']] | 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']] |
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generation | towe | [
"While there are plenty of places to go for a good corned beef sandwich , Katz 's has a charm about it ."
] | ['corned', ['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']] |
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generation | towe | [
"However , looking at the table next to ours , we both sort of wished we had ordered pizza , which looked perfect"
] | ['pizza', ['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']] |
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generation | towe | [
"Priced at upper intermediate range ."
] | ['Priced', ['upper']] | 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']] |
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generation | towe | [
"The fish was adequate , but inexpertly sliced ."
] | ['fish', ['adequate', 'inexpertly']] | 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']] |
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generation | towe | [
"If you live in new york city , you 'll find better food at small restaurants outside of time square and spend half the amount ."
] | ['food', ['better']] | 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']] |
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generation | towe | [
"they did n't disappoint , service from the second i arrived at the door was extremely pleasant and attentive with almost one server per table ."
] | ['service', ['pleasant', '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']] |
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generation | towe | [
"I do n't know who they think they are but they have no respect for the residents of the neighborhood ever since they opened their cabaret next door and blasts loud music till three in the morning every weekend during the summer ."
] | ['music', ['loud']] | 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']] |
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generation | towe | [
"The rice to fish ration was also good -- they did n't try to overpack the rice ."
] | ['rice', ['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']] |
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generation | towe | [
"The food is great and they have a good selecion of wines at reasonable prices ."
] | ['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']] |
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generation | towe | [
"The food is great and they have a good selecion of wines at reasonable prices ."
] | ['selecion', ['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']] |
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generation | towe | [
"The food is great and they have a good selecion of wines at reasonable prices ."
] | ['prices', ['reasonable']] | 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']] |
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generation | towe | [
"The only positive was the wait staff , which was prompt , knowledgable , and likeable ."
] | ['wait', ['positive', 'prompt', 'knowledgable', 'likeable']] | 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']] |
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generation | towe | [
"I could n't reccommend their Godmother pizza any higher ."
] | ['Godmother', ['reccommend']] | 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']] |
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generation | towe | [
"I am not a vegetarian but , almost all the dishes were great ."
] | ['dishes', ['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']] |
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generation | towe | [
"I was very impressed by this low-key upper eastsider and their authentically thai cuisine ! ! !"
] | ['thai', ['authentically']] | 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']] |
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generation | towe | [
"For the location , the prices are very reasonable ."
] | ['prices', ['reasonable']] | 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']] |
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generation | towe | [
"For the location , the prices are very reasonable ."
] | ['location', ['reasonable']] | 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']] |
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generation | towe | [
"The food is okay and the prices here are mediocre ."
] | ['food', ['okay']] | 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']] |
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generation | towe | [
"The food is okay and the prices here are mediocre ."
] | ['prices', ['mediocre']] | 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 friend 's food was also the complete opposite of what it 's supposed to taste like ( aND look like ) ."
] | ['food', ['opposite']] | 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 been to this place many times , and always have great food , wine , and service ."
] | ['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 | [
"We have been to this place many times , and always have great food , wine , and service ."
] | ['wine', ['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 | [
"We have been to this place many times , and always have great food , wine , and service ."
] | ['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 | [
"Not a typical pizza joint , but good for a low key and fairly cheap nice sit down dinner ."
] | ['dinner', ['cheap', 'nice']] | 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 corned beef was tender and melted in my mouth ."
] | ['corned', ['tender', 'melted']] | 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 best Chicken pad tai , I 've ever had ."
] | ['Chicken', ['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 | [
"$ 20 for all you can eat sushi can not be beaten ."
] | ['sushi', ['can']] | 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 | [
"Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ."
] | ['fish', ['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 | [
"Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ."
] | ['service', ['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 | [
"Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ."
] | ['ambiance', ['trendy', 'modern']] | 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 | [
"Haru serves very fresh fish , has a trendy , modern ambiance , prime location on Park Avenue South and friendly service ."
] | ['location', ['prime']] | 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 | [
"Warm and friendly in the winter and terrific outdoor seating in the warmer months ."
] | ['outdoor', ['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 | [
"Very romantic fires - I 've literally spent hours at Lanterna , drinking wine from their extensive wine and enjoying the ambience ."
] | ['wine', ['extensive']] | 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 romantic fires - I 've literally spent hours at Lanterna , drinking wine from their extensive wine and enjoying the ambience ."
] | ['ambience', ['enjoying']] | 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 got a little tipsy from the sake but is n't that what Saturday nights with the girlfriends are all about ?"
] | ['sake', ['tipsy']] | 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 | [
"Always a nice crowd , but never loud ."
] | ['crowd', ['nice', '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 | [
"My turkey burger was not cooked at all , my friends salmon was completely raw ."
] | ['turkey', ['not']] | 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 turkey burger was not cooked at all , my friends salmon was completely raw ."
] | ['salmon', ['raw']] | 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 spotty , sometimes really friendly and sometimes barely there ."
] | ['service', ['spotty']] | 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 minimalist and clean - nothing to distract or commend ."
] | ['Decor', ['minimalist', 'clean']] | 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 | [
"His drinks are very inventive , delicious and classy ."
] | ['drinks', ['inventive', 'delicious', 'classy']] | 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 food , great prices , great service ."
] | ['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 | [
"Great food , great prices , great service ."
] | ['prices', ['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 food , great prices , great service ."
] | ['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 | [
"Awesome Pizza especially the Margheritta slice ."
] | ['Pizza', ['Awesome']] | 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 | [
"Awesome Pizza especially the Margheritta slice ."
] | ['Margheritta', ['Awesome']] | 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 place , however , has a lot less pretension than Joya and the Thai food is still above average ."
] | ['Thai', ['above']] | 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 ordering from the regular menu , then you would not regret !"
] | ['menu', ['regret']] | 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 started with lox and mussels ( the best ive ever had , ever ) and had the cod and trout for dinner ."
] | ['lox', ['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 | [
"We started with lox and mussels ( the best ive ever had , ever ) and had the cod and trout for dinner ."
] | ['mussels', ['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 | [
"Food is great ."
] | ['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 | [
"I recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !"
] | ['meatballs', ['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 recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !"
] | ['caprese', ['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 recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !"
] | ['beans', ['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 | [
"I recommend the meatballs and caprese salad and the beans on toast were a wonderful start to the meal !"
] | ['meal', ['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 | [
"This place is incredibly tiny ."
] | ['place', ['tiny']] | 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 did n't complain , I liked the atmosphere so much ."
] | ['atmosphere', ['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 wine is always good , the tapas are always yummy , especially with the warm pita bread ."
] | ['wine', ['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 wine is always good , the tapas are always yummy , especially with the warm pita bread ."
] | ['tapas', ['yummy']] | 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 wine is always good , the tapas are always yummy , especially with the warm pita bread ."
] | ['pita', ['warm']] | 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 when you are seated the waitresses are great , they explain everything on the menu , and the price of the food is really cheap for the service you get ."
] | ['waitresses', ['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 when you are seated the waitresses are great , they explain everything on the menu , and the price of the food is really cheap for the service you get ."
] | ['price', ['cheap']] | 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 when you are seated the waitresses are great , they explain everything on the menu , and the price of the food is really cheap for the service you get ."
] | ['food', ['cheap']] | 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 've been to several places for Dim Sum and this has got to be the WORST ."
] | ['Dim', ['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']] |
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