task_type
stringclasses 1
value | dataset
stringclasses 1
value | input
list | output
stringlengths 43
597
| situation
stringclasses 1
value | label
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---|---|---|---|---|---|---|---|
generation
|
acos
|
[
"with the exception of our lemon salad that had so much pepper on it that our eyes started watering , the food here was decent , not great ."
] |
[['food', 'food quality', 'neutral', 'decent'], ['food', 'food quality', 'neutral', 'not great'], ['lemon salad', 'food quality', 'negative', 'exception']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"we ordered the special , grilled branzino , that was so infused with bone , it was difficult to eat ."
] |
[['grilled branzino', 'food quality', 'negative', 'difficult to eat']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the decor in this place is very diner - ish and the kind of place you expect in the east village - not romantic , just simple , small and sparse ."
] |
[['decor', 'ambience general', 'neutral', 'diner - ish']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"problem is nothing at prune is particularly memorable ."
] |
[['prune', 'restaurant general', 'negative', 'memorable']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"no plans to return anytime soon ."
] |
[['NULL', 'restaurant general', 'negative', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"this place is so much fun ."
] |
[['place', 'ambience general', 'positive', 'fun']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"our family never expected such incredible entertainment in a restaurant ."
] |
[['entertainment', 'ambience general', 'positive', 'incredible']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"our food was great too !"
] |
[['food', 'food quality', 'positive', 'great']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"and really large portions ."
] |
[['portions', 'food style_options', 'positive', 'large']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the staff was the friendliest that have seen in new york ."
] |
[['staff', 'service general', 'positive', 'friendliest']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"if you want something really different than try jekyll and hyde ."
] |
[['jekyll and hyde', 'restaurant general', 'positive', 'different']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"it is a lot of fun with live entertainment and all kinds of disney type special effects ."
] |
[['NULL', 'ambience general', 'positive', 'fun']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the food was pretty tradional but it was hot and good with large portions ."
] |
[['food', 'food quality', 'positive', 'tradional'], ['food', 'food quality', 'positive', 'hot'], ['portions', 'food style_options', 'positive', 'large']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i highly recommend it ."
] |
[['NULL', 'restaurant general', 'positive', 'recommend']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the place is a lot of fun ."
] |
[['place', 'ambience general', 'positive', 'fun']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"my six year old loved it ."
] |
[['NULL', 'restaurant general', 'positive', 'loved']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the food however , is what one might expect ."
] |
[['food', 'food quality', 'negative', 'expect']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"it is very overpriced and not very tasty ."
] |
[['NULL', 'food quality', 'negative', 'not very tasty'], ['NULL', 'food prices', 'negative', 'overpriced']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"went there with my wife and we had to wait for a table even though you could see there many that were empty with not reservation sigh on them ."
] |
[['NULL', 'service general', 'negative', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"service was slow had to wait to order and get food although not crowded ."
] |
[['service', 'service general', 'negative', 'slow']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"drinks way over priced ."
] |
[['drinks', 'drinks prices', 'negative', 'over priced']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"food was good not great not worth the wait or another visit"
] |
[['food', 'food quality', 'neutral', 'good not great'], ['NULL', 'restaurant general', 'negative', 'not worth']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"great pizza for lunch place ."
] |
[['pizza', 'food quality', 'positive', 'great']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"service was quick ."
] |
[['service', 'service general', 'positive', 'quick']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the pizza was great ."
] |
[['pizza', 'food quality', 'positive', 'great']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"and it was quick which is very important ."
] |
[['NULL', 'service general', 'positive', 'quick'], ['NULL', 'service general', 'positive', 'important']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"have the iced tea ."
] |
[['iced tea', 'food quality', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"whenever you need a sushi fix , mizu will be there with quality fish and great service ."
] |
[['fish', 'food quality', 'positive', 'quality'], ['service', 'service general', 'positive', 'great']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"delivery is fast too ."
] |
[['delivery', 'service general', 'positive', 'fast']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"great friendly service , fast seating , fast delivery , excellent sushi ."
] |
[['service', 'service general', 'positive', 'great'], ['service', 'service general', 'positive', 'friendly'], ['seating', 'service general', 'positive', 'fast'], ['delivery', 'service general', 'positive', 'fast'], ['sushi', 'food quality', 'positive', 'excellent']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"ess - a - bagel ( either by sty - town or midtown ) is by far the best bagel in ny ."
] |
[['bagel', 'food quality', 'positive', 'best']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the bagels always warm , soft on the inside , crispy on the outside and enormous in size ."
] |
[['bagels', 'food quality', 'positive', 'warm'], ['bagels', 'food quality', 'positive', 'soft'], ['bagels', 'food quality', 'positive', 'crispy'], ['bagels', 'food style_options', 'positive', 'enormous']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"they have a huge selection of different cream cheeses and all of their salads are great ."
] |
[['salads', 'food quality', 'positive', 'great'], ['cream cheeses', 'food style_options', 'positive', 'huge'], ['cream cheeses', 'food style_options', 'positive', 'different']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the lox is always fresh too ."
] |
[['lox', 'food quality', 'positive', 'fresh']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"highly recommended to all !"
] |
[['NULL', 'restaurant general', 'positive', 'recommended']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"not impressed with the food ."
] |
[['food', 'food quality', 'negative', 'not impressed']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"prices too high for this cramped and unappealing resturant ."
] |
[['resturant', 'restaurant prices', 'negative', 'high'], ['resturant', 'ambience general', 'negative', 'cramped'], ['resturant', 'ambience general', 'negative', 'unappealing']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"zero ambiance to boot ."
] |
[['ambiance', 'ambience general', 'negative', 'zero']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i thought this place was totally overrated ."
] |
[['place', 'restaurant general', 'negative', 'overrated']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"everything we had was good or ok . . . . but definitely nothing great ."
] |
[['NULL', 'food quality', 'neutral', 'nothing great']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the ambience was nice , but service was n ' t so great ."
] |
[['ambience', 'ambience general', 'positive', 'nice'], ['service', 'service general', 'negative', "was n ' t so great"]]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"when you add it all together , it just does n ' t seem worth it to me . . . especially considering the prices ."
] |
[['NULL', 'restaurant general', 'negative', "does n ' t seem worth"], ['NULL', 'restaurant prices', 'negative', "does n ' t seem worth"]]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"this is the best shabu - shabu restaurant in the try - state area ."
] |
[['shabu - shabu restaurant', 'restaurant general', 'positive', 'best']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"thius is a must for anyone who loves shabu - shabu ."
] |
[['shabu - shabu', 'food quality', 'positive', 'loves']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the atmosphere is nothing special , but it feels like a sushi establishment in tokyo ."
] |
[['atmosphere', 'ambience general', 'positive', 'nothing special']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the owner and staff are all japanese as well and that adds to the entire ambiance ."
] |
[['owner', 'restaurant miscellaneous', 'positive', 'NULL'], ['staff', 'restaurant miscellaneous', 'positive', 'NULL'], ['ambiance', 'ambience general', 'positive', 'adds']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"despite a slightly limited menu , everything prepared is done to perfection , ultra fresh and a work of food art ."
] |
[['menu', 'food style_options', 'negative', 'limited'], ['NULL', 'food quality', 'positive', 'fresh'], ['NULL', 'food style_options', 'positive', 'done to perfection']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i must give it yon out of yon stars !"
] |
[['NULL', 'restaurant general', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"taxan delicious !"
] |
[['taxan', 'food quality', 'positive', 'delicious']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"this restaurant was recommended by a local . . . as a matter of fact , he made the reservation for us and said we would not be disappointed !"
] |
[['NULL', 'restaurant general', 'positive', 'recommended']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"we were n ' t !"
] |
[['NULL', 'restaurant general', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the prices were cheap compared to the quality of service and food ."
] |
[['service', 'service general', 'positive', 'NULL'], ['food', 'food quality', 'positive', 'NULL'], ['NULL', 'restaurant prices', 'positive', 'cheap']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"we liked it so much , that we will always make it a point to dine here when we visit new york ."
] |
[['NULL', 'restaurant general', 'positive', 'liked']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the location and ambience is ok but the food is what makes up for it ."
] |
[['location', 'location general', 'neutral', 'ok'], ['ambience', 'ambience general', 'neutral', 'ok'], ['food', 'food quality', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"there is a lot of variety even for people who eat vegetarian like me ."
] |
[['NULL', 'food style_options', 'positive', 'a lot of variety']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"try green curry with vegetables ."
] |
[['green curry with vegetables', 'food quality', 'positive', 'try']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the quantity is also very good , you will come out satisfied ."
] |
[['quantity', 'food style_options', 'positive', 'good'], ['quantity', 'food style_options', 'positive', 'satisfied']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the service is ok , some of the people did n ' t get what they asked for ."
] |
[['service', 'service general', 'neutral', 'ok']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i was there on sat . for my birthday and we had an excellent time ."
] |
[['NULL', 'restaurant general', 'positive', 'excellent']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i had the best ravioli ever ."
] |
[['ravioli', 'food quality', 'positive', 'best']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the wine the service was very good too ."
] |
[['wine', 'drinks quality', 'positive', 'good'], ['service', 'service general', 'positive', 'good']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"moderate prices ."
] |
[['NULL', 'restaurant prices', 'neutral', 'moderate']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"a little noise but i think that was because of our party !"
] |
[['NULL', 'ambience general', 'neutral', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"this quaint and romantic trattoria is at the top of my manhattan restaurant list ."
] |
[['trattoria', 'ambience general', 'positive', 'quaint'], ['trattoria', 'restaurant general', 'positive', 'romantic']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the food is delicious - from the specials to the regular menu - fare , the dishes are never a disappointment ."
] |
[['food', 'food quality', 'positive', 'delicious'], ['specials', 'food quality', 'positive', 'NULL'], ['regular menu - fare', 'food quality', 'positive', 'NULL'], ['dishes', 'food quality', 'positive', 'never a disappointment']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"whether it ' s the parmesean porcini souffle or the lamb glazed with balsamic vinegar , you will surely be transported to northern italy with one bite ."
] |
[['parmesean porcini souffle', 'food quality', 'positive', 'NULL'], ['lamb glazed with balsamic vinegar', 'food quality', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"although the tables may be closely situated , the candle - light , food - quality and service overcompensate ."
] |
[['tables', 'ambience general', 'negative', 'closely situated'], ['candle - light', 'ambience general', 'positive', 'overcompensate'], ['food', 'food quality', 'positive', 'overcompensate'], ['service', 'service general', 'positive', 'overcompensate']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"a guaranteeed delight !"
] |
[['NULL', 'restaurant general', 'positive', 'delight']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i have known about this secret for the last 13 years , emilio ( the godfather ) has continued to serve food and wine for the gods at mortal prices ."
] |
[['food', 'food quality', 'positive', 'NULL'], ['food', 'food prices', 'positive', 'NULL'], ['wine', 'drinks quality', 'positive', 'NULL'], ['wine', 'drinks prices', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"if you go , try the marinara / arrabiatta sauce , the mozzarella en carozza is mmmmmmmm . . . . . everything is just delicious ."
] |
[['marinara / arrabiatta sauce', 'food quality', 'positive', 'try'], ['marinara / arrabiatta sauce', 'food quality', 'positive', 'delicious'], ['NULL', 'food quality', 'positive', 'delicious']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i pray it stays open forever ."
] |
[['NULL', 'restaurant general', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i found the food , service and value exceptional everytime i have been there ."
] |
[['food', 'food quality', 'positive', 'exceptional'], ['service', 'service general', 'positive', 'exceptional'], ['NULL', 'restaurant prices', 'positive', 'exceptional']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i felt as though i were eating in paris ."
] |
[['NULL', 'food quality', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the service was excellent - friendly and attentive ."
] |
[['service', 'service general', 'positive', 'excellent'], ['service', 'service general', 'positive', 'friendly'], ['service', 'service general', 'positive', 'attentive']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the prices are wonderfully low ."
] |
[['NULL', 'restaurant prices', 'positive', 'wonderfully low']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"very good wine choices ."
] |
[['wine choices', 'drinks style_options', 'positive', 'good']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"who has room for cheesesticks with the best pizza in nyc !"
] |
[['pizza', 'food quality', 'positive', 'best']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"get the pepperoni - yum - and a family style salad ."
] |
[['pepperoni', 'food quality', 'positive', 'yum'], ['family style salad', 'food quality', 'positive', 'yum']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"great staff ."
] |
[['staff', 'service general', 'positive', 'great']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"always great service !"
] |
[['service', 'service general', 'positive', 'great']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i go twice a month !"
] |
[['NULL', 'restaurant general', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the food is good , i ca n ' t lie ."
] |
[['food', 'food quality', 'positive', 'good']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"the hostess and the waitress were incredibly rude and did everything they could to rush us out ."
] |
[['hostess', 'service general', 'negative', 'rude'], ['waitress', 'service general', 'negative', 'rude']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"we were planning to get dessert but the waitress basically through the bill at us before we had a chance to order ."
] |
[['waitress', 'service general', 'negative', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"this place is pricey , and yes , the food is worth it ; but the service makes you feel like you should be paying a quater of the price ."
] |
[['place', 'restaurant prices', 'negative', 'NULL'], ['the', 'food quality', 'positive', 'is'], ['the', 'service general', 'negative', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"save yourself the time and trouble and skip this one !"
] |
[['NULL', 'restaurant general', 'negative', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"amma is nothing special ."
] |
[['amma', 'restaurant general', 'neutral', 'nothing special']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i ate here a week ago and found most dishes average at best and too expensive ."
] |
[['dishes', 'food quality', 'negative', 'average at best'], ['dishes', 'food prices', 'negative', 'expensive']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"will not be back ."
] |
[['NULL', 'restaurant general', 'negative', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"do n ' t dine at tamarind for the vegetarian dishes , they are simply not up to par with the non - veg selections ."
] |
[['vegetarian dishes', 'food quality', 'negative', 'not up to par'], ['non - veg selections', 'food quality', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"this place is always packed ."
] |
[['place', 'ambience general', 'neutral', 'packed']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"most importantly , food is excellent ."
] |
[['food', 'food quality', 'positive', 'excellent']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"try the sea bass ."
] |
[['sea bass', 'food quality', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"highly recommended ."
] |
[['NULL', 'restaurant general', 'positive', 'recommended']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"first of all dal bukhara rocks ."
] |
[['dal bukhara rocks .', 'food quality', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"i am happy i did the food was awsome ."
] |
[['food', 'food quality', 'positive', 'awsome']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"and yes dal bukhara is so dam good and so are all the kababs ."
] |
[['kababs', 'food quality', 'positive', 'good'], ['dal bukhara', 'food quality', 'positive', 'good']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"but overall i give it a 10"
] |
[['NULL', 'restaurant general', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"10"
] |
[['NULL', 'restaurant general', 'positive', 'NULL']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
||
generation
|
acos
|
[
"haru on park s is simply disgusting ."
] |
[['haru on park s', 'restaurant general', 'negative', 'disgusting']]
|
none
|
Task: Extracting aspect terms and their corresponding aspect categories, sentiment polarities, and opinion words. Input: A sentence. Output: A list of 4-tuples, where each tuple contains the extracted aspect term, its aspect category, sentiment polarity, and opinion words (if any). Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "Also it's not a true SSD drive in there but eMMC, which makes a difference. " Output: [['SSD drive', 'hard_disc operation_performance', 'negative', 'NULL']] '
|
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