task_type
stringclasses 1
value | dataset
stringclasses 1
value | input
list | output
stringlengths 14
75
| situation
stringclasses 1
value | label
stringclasses 1
value | extra
stringclasses 1
value | instruct
stringclasses 1
value |
---|---|---|---|---|---|---|---|
generation
|
towe
|
[
"The pizza is delicious - they use fresh mozzarella instead of the cheap , frozen , shredded cheese common to most pizzaria 's ."
] |
['cheese', ['cheap', 'frozen', 'shredded']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Its an excellent place to relax and the food is one of the best in the city of New York ."
] |
['place', ['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
|
[
"Its an excellent place to relax and the food is one of the best in the city of New York ."
] |
['food', ['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
|
[
"service is friendly , and never had a problem walking in and getting a table ."
] |
['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
|
[
"service is friendly , and never had a problem walking in and getting a table ."
] |
['getting', ['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
|
[
"The atmosphere was crowded but it was a great bistro-type vibe ."
] |
['atmosphere', ['crowded']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 was crowded but it was a great bistro-type vibe ."
] |
['bistro-type', ['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
|
[
"First off , the waitress was completely unattentive the 2 times we saw her ( odd in a restaurant with 6 tables ) and got our order wrong ."
] |
['waitress', ['unattentive']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 bland oily ."
] |
['food', ['bland']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"What is even better , is that the prices are very affordable as well , and the food is really good ."
] |
['prices', ['affordable']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"What is even better , is that the prices are very affordable as well , and the food is really good ."
] |
['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 fish is fresh but the variety of fish is nothing out of ordinary ."
] |
['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
|
[
"The fish is fresh but the variety of fish is nothing out of ordinary ."
] |
['variety', ['ordinary']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Our favorite meal is a pesto pizza , the house salad , and a good bottle of wine ."
] |
['pesto', ['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']]
|
||
generation
|
towe
|
[
"Our favorite meal is a pesto pizza , the house salad , and a good bottle of wine ."
] |
['house', ['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']]
|
||
generation
|
towe
|
[
"Our favorite meal is a pesto pizza , the house salad , and a good bottle of wine ."
] |
['bottle', ['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
|
[
"Our favorite meal is a pesto pizza , the house salad , and a good bottle of wine ."
] |
['meal', ['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']]
|
||
generation
|
towe
|
[
"And Kruno , the beverage manager is the best bartender I have yet to come across ."
] |
['bartender', ['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
|
[
"And Kruno , the beverage manager is the best bartender I have yet to come across ."
] |
['beverage', ['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
|
[
"Ambiance and music funky , which I enjoy ."
] |
['Ambiance', ['funky', 'enjoy']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Ambiance and music funky , which I enjoy ."
] |
['music', ['funky', 'enjoy']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 , drinks and service are clearly among the best in the city ."
] |
['food', ['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
|
[
"The food , drinks and service are clearly among the best in the city ."
] |
['drinks', ['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
|
[
"The food , drinks and service are clearly among the best in the city ."
] |
['service', ['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
|
[
"I understand the area and folks you need not come here for the romantic , alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods , the tastes , the experiance ."
] |
['ambiance', ['romantic', 'alluring']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 understand the area and folks you need not come here for the romantic , alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods , the tastes , the experiance ."
] |
['service', ['five']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 understand the area and folks you need not come here for the romantic , alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods , the tastes , the experiance ."
] |
['foods', ['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 understand the area and folks you need not come here for the romantic , alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods , the tastes , the experiance ."
] |
['captain', ['complicated']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 understand the area and folks you need not come here for the romantic , alluring ambiance or the five star service featuring a sommlier and a complicated maze of captain and back waiters - you come for the authentic foods , the tastes , the experiance ."
] |
['back', ['complicated']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Eating in , the atmosphere saves it , but at your desk , it 's a very disappointing experience ."
] |
['atmosphere', ['saves']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Granted the space is smaller than most , it is the best service you will find in even the largest of restaurants ."
] |
['space', ['smaller']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Granted the space is smaller than most , it is the best service you will find in even the largest of restaurants ."
] |
['service', ['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
|
[
"I love the atmorphere @ peep !"
] |
['atmorphere', ['love']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 and her suggestions of menu items was right on the mark ."
] |
['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
|
[
"The service was attentive and her suggestions of menu items was right on the mark ."
] |
['menu', ['right']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 other night we had the $ 30 three course meal and everything was delicious - if I could of licked the plate clean I would of ."
] |
['three', ['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
|
[
"Even after getting pushed out by the no-class Famous Ray 's , Sal has risen again to carry on his father 's uncle 's legacies with a smile , true love for his community , and let 's not forget the Outstanding Pizza !"
] |
['Pizza', ['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 environment is romantic , but the food is horrible , the service is pathetic , and gabriella lies about everything she could ."
] |
['environment', ['romantic']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 environment is romantic , but the food is horrible , the service is pathetic , and gabriella lies about everything she could ."
] |
['food', ['horrible']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 environment is romantic , but the food is horrible , the service is pathetic , and gabriella lies about everything she could ."
] |
['service', ['pathetic']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 had crawfish boiled and despite making a mess , it was a ton of fun and quite tasty as well ."
] |
['crawfish', ['fun', 'tasty']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"What came to our table was burned beyond recognition and stringy ."
] |
['table', ['burned']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 Pad Thai and the noodles were sticky ."
] |
['Pad', ['sticky']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 Pad Thai and the noodles were sticky ."
] |
['noodles', ['sticky']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 hostess is rude to the point of being offensive ."
] |
['hostess', ['rude', 'offensive']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 're craving for Haru 's great food , especially the House Roll , but ca n't stand the wait building outisde , head across the street to their Sake Bar !"
] |
['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
|
[
"A narrow corridor leads to a tiny space where there are three tiny white tiled counters , a great deal of mess ( stacks of bottles , cans ) and a small counter holding 12-14 entrees ."
] |
['corridor', ['narrow']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"A narrow corridor leads to a tiny space where there are three tiny white tiled counters , a great deal of mess ( stacks of bottles , cans ) and a small counter holding 12-14 entrees ."
] |
['space', ['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
|
[
"A narrow corridor leads to a tiny space where there are three tiny white tiled counters , a great deal of mess ( stacks of bottles , cans ) and a small counter holding 12-14 entrees ."
] |
['counters', ['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
|
[
"A narrow corridor leads to a tiny space where there are three tiny white tiled counters , a great deal of mess ( stacks of bottles , cans ) and a small counter holding 12-14 entrees ."
] |
['entrees', ['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 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
|
[
"Succulent steaks cooked precisely to your desired 'doneness ' accompanied by salads and sides that do n't look like leafy road kill ."
] |
['steaks', ['desired']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Decent wine at reasonable prices ."
] |
['wine', ['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
|
[
"Decent wine 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']]
|
||
generation
|
towe
|
[
"All conveniently delivered right to the door ."
] |
['delivered', ['conveniently']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"even the wine by the glass was good ."
] |
['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
|
[
"This dish is my favorite and I always get it when I go there and never get tired of it ."
] |
['dish', ['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']]
|
||
generation
|
towe
|
[
"I also ordered the Change Mojito , which was out of this world ."
] |
['Change', ['out']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Okay service ."
] |
['service', ['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']]
|
||
generation
|
towe
|
[
"The only thing more wonderful than the food ( which is exceptional ) is the service ."
] |
['food', ['exceptional']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 more wonderful than the food ( which is exceptional ) is the service ."
] |
['service', ['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
|
[
"The food was just awful , ATROCIOUS actually ."
] |
['food', ['awful', 'ATROCIOUS']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."
] |
['anti-pasta', ['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
|
[
"The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."
] |
['calamari', ['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
|
[
"The anti-pasta was excellent , especially the calamari , as were the filling pasta mains ."
] |
['filling', ['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
|
[
"The waitress suggested glasses of wine that went very well with the food ."
] |
['glasses', ['went']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 might be all business at the counter when you give your order , but their food says I love you ."
] |
['food', ['love']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 might be all business at the counter when you give your order , but their food says I love you ."
] |
['counter', ['love']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."
] |
['types', ['please']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."
] |
['ceviche', ['please']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."
] |
['crab', ['please']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."
] |
['assorted', ['please']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."
] |
['sushi', ['particular']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."
] |
['rolls', ['please']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."
] |
['sake', ['please']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 are very particular about sushi and were both please with every choice which included : ceviche mix ( special ) , crab dumplings , assorted sashimi , sushi and rolls , two types of sake , and the banana tempura ."
] |
['banana', ['please']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 their plain pizza with fresh garlic or eggplant ."
] |
['plain', ['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
|
[
"Try their plain pizza with fresh garlic or eggplant ."
] |
['garlic', ['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
|
[
"Ok , so the servers wander around a little clueless , but there 's more than enough servers for the crowd they get -- it 's fine , you just have to make a small effort to get their attention ."
] |
['servers', ['clueless']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Good luck getting a table ."
] |
['getting', ['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 service is awful ."
] |
['service', ['awful']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 takeout menu says to keep an eye out for an expanded menu offering more italian dishes , I ca n't wait !"
] |
['menu', ['expanded']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 takeout menu says to keep an eye out for an expanded menu offering more italian dishes , I ca n't wait !"
] |
['italian', ['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 pizza is good though ."
] |
['pizza', ['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
|
[
"bottles of wine are cheap and good ."
] |
['bottles', ['cheap', '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 have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."
] |
['beers', ['happy']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."
] |
['food', ['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
|
[
"The have over 100 different beers to offer thier guest so that made my husband very happy and the food was delicious , if I must recommend a dish it must be the pumkin tortelini ."
] |
['pumkin', ['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
|
[
"You must have the crabmeat lasagna which is out of this world and the chocolate bread pudding for dessert ."
] |
['crabmeat', ['out']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 good service and very good prices ."
] |
['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
|
[
"Very good service and very good prices ."
] |
['prices', ['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
|
[
"I recently went to this restaurant with some co-workers for lunch and had an amazing time ."
] |
['lunch', ['amazing']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 impeccable and unobtrusive -- the staff knows what they are there to do -- to know their menu , present your meal , and attend to your needs ."
] |
['service', ['impeccable', 'unobtrusive']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Ess-A-Bagel ( either by Sty-town or midtown ) is by far the best bagel in NY ."
] |
['bagel', ['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
|
[
"Our food was great too !"
] |
['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 most annoying thing , though , is the fact that the servers seem to be trained to drive revenue ."
] |
['servers', ['annoying']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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
|
[
"Please try the Filet Mignon , its just the most tender piece ever ."
] |
['Filet', ['tender']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 sake menu should not be overlooked !"
] |
['sake', ['overlooked']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 drinks are amazing and half off till 8pm ."
] |
['drinks', ['amazing']]
|
none
|
Task: Extracting aspect terms and their opinion words(in a list). Input: A sentence. Output: A list of 2-tuples where each tuple contains the extracted aspect term their opinion words(in a list). Supplement: "Null" 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 back to nha trang literally a hundred times for the beef cubes - they 're that good ."
] |
['beef', ['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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