task_type
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|---|---|---|---|---|---|---|---|
generation | acos | [
"as to my comment about the food , no apology or acknowledgment was made ."
] | [['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 | [
"my wife had barely touched that mess of a dish ."
] | [['dish', 'food quality', 'negative', 'mess']] | 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 charged full price ."
] | [['NULL', 'service general', 'negative', 'full']] | 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 | [
"lives up to the hype"
] | [['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 | [
"we ' ve tried before but it always packed and does n ' t take reservations ."
] | [['NULL', 'restaurant miscellaneous', '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 | [
"it was well worth the wait ."
] | [['NULL', 'restaurant general', 'positive', '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 | [
"the wife had the risotto which was amazing ."
] | [['risotto', 'food quality', 'positive', 'amazing']] | 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 does n ' t look appetizing as it ' s covered in squid ink and it turns your lips and teeth black , but the taste was phenomenal ."
] | [['NULL', 'food style_options', 'negative', 'NULL'], ['NULL', 'food quality', 'positive', 'phenomenal']] | 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 farro salad and the mashed yukon potatoes were also extremely tasty ."
] | [['farro salad', 'food quality', 'positive', 'tasty'], ['mashed yukon potatoes', 'food quality', 'positive', 'tasty']] | 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 love margherita pizza – i looove east village pizza"
] | [['margherita pizza', 'restaurant general', 'positive', 'love'], ['east village pizza', 'food quality', 'positive', 'looove']] | 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 | [
"love this place , every time we are in the city this is one of the places we always go ."
] | [['place', 'restaurant general', 'positive', 'love']] | 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 quintessential slice of nyc pizza ."
] | [['slice of nyc pizza', 'food quality', 'neutral', 'quintessential']] | 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 crust has a great bite and a good chew , the sauce is light with a nice acidity to it , the salt from the cheese is great , really heightens the flavor of all the other components ."
] | [['crust', 'food quality', 'positive', 'great'], ['crust', 'food quality', 'positive', 'good'], ['sauce', 'food quality', 'positive', 'light'], ['sauce', 'food quality', 'positive', 'nice'], ['cheese', '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 | [
"personally i like the margherita pizza better , but they are all good ."
] | [['margherita pizza', 'food quality', 'positive', 'like'], ['margherita pizza', 'food quality', 'positive', 'good'], ['NULL', '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 | [
"possibly the most romantic restaurant in the city"
] | [['restaurant', 'ambience 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 | [
"this is undoubtedly my favorite modern japanese brasserie ( that don ’ t serve sushi ) , and in my opinion , one of the most romantic restaurants in the city !"
] | [['modern japanese brasserie', 'restaurant general', 'positive', 'favorite'], ['modern japanese brasserie', 'restaurant general', 'positive', 'romantic'], ['modern japanese brasserie', 'ambience general', 'positive', 'favorite'], ['modern japanese brasserie', 'ambience 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 | [
"not only is it an adventure getting to this somewhat hidden spot , once you enter the unmarked wooden doors , the zen and intimate decor will make you feel like you ’ re no longer in the city ."
] | [['spot', 'location general', 'neutral', 'hidden'], ['unmarked wooden doors', 'ambience general', 'positive', 'NULL'], ['decor', 'ambience general', 'positive', 'intimate']] | 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 ’ re planning to come here , make sure that your date is someone whom you really like since you ’ ll be ushered to private booths where there will be no people or food watching ( choose the ones on the ground level that have glass ceilings so you may see the stars in the sky ! ) ."
] | [['private booths', 'ambience general', 'positive', 'ushered'], ['glass ceilings', 'ambience 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 | [
"it ’ s just you and your date and an occasional cute ‘ excuse me ’ before the waiter opens the little curtain to your booth !"
] | [['NULL', 'ambience general', 'positive', 'NULL'], ['waiter', 'service general', 'positive', 'cute']] | 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 party had the bbe $ 29 fixe prix menu , which was such a wonderful deal since it also came with a flight of sake !"
] | [['bbe $ 29 fixe prix menu', 'food prices', 'positive', 'NULL'], ['bbe $ 29 fixe prix menu', 'food style_options', 'positive', 'wonderful']] | 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 started off with a delightful sashimi amuse bouche ."
] | [['sashimi amuse bouche', 'food quality', 'positive', 'delightful']] | 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 picked the grilled black cod as my entree , which i absolutely devoured while someone commented that the grilled salmon dish was better ."
] | [['grilled black cod', 'food quality', 'positive', 'devoured'], ['grilled salmon dish', 'food quality', 'positive', 'better']] | 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 entrees were served with miso soup and rice ."
] | [['entrees', 'food style_options', '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 | [
"for desserts , we tried the frozen black sesame mousse ( interesting but not extraordinary ) and matcha ( powdered green tea ) and blueberry cheesecake , which was phenomenal ."
] | [['frozen black sesame mousse', 'food quality', 'neutral', 'interesting'], ['frozen black sesame mousse', 'food quality', 'neutral', 'extraordinary'], ['matcha ( powdered green tea ) and blueberry cheesecake', 'food quality', 'positive', 'phenomenal']] | 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 do n ' t usually visit the same establishment more than once , what more twice , but i ' ll come to zenkichi anytime for a quiet , unhurried and memorable dinner ."
] | [['zenkichi', 'ambience general', 'positive', 'quiet'], ['zenkichi', 'ambience general', 'positive', 'unhurried'], ['zenkichi', 'restaurant general', 'positive', '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 | [
"terrible would be a compliment !"
] | [['NULL', 'restaurant general', 'negative', 'terrible']] | 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 leaves much to be desired , from feeling like you are rushed the place your order , to being ignored the rest of the night ."
] | [['service', '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 | [
"we paid a fixed pricce but got nothing ! !"
] | [['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 | [
"we never ate because by close to 2 in the monring we were not served and were too upset ad tired to start eating ."
] | [['NULL', 'service general', 'negative', 'upset'], ['NULL', 'service general', 'negative', 'tired']] | 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 are extremely rude , not even apologizing for the horrible service we got and handing us a bill well over $ 500 for some drinks adn their pita bread !"
] | [['service', 'service general', 'negative', 'horrible'], ['drinks', 'drinks prices', 'negative', 'NULL'], ['pita bread', 'food prices', 'negative', 'NULL'], ['NULL', '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 | [
"stay away"
] | [['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 | [
"great shabu shabu"
] | [['shabu shabu', '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 | [
"i love it ."
] | [['NULL', 'restaurant general', 'positive', 'love']] | 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 for the shabu shabu , you wo n ' t find much better in ny ."
] | [['shabu shabu', '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 meat is fresh , the sauces are great , you get kimchi and a salad free with your meal and service is good too ."
] | [['meat', 'food quality', 'positive', 'fresh'], ['sauces', 'food quality', 'positive', 'great'], ['kimchi', 'food prices', 'positive', 'free'], ['salad', 'food prices', 'positive', 'free'], ['meal', 'food style_options', 'positive', 'NULL'], ['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 | [
"dokebi gives williamsburg the right one - two punch of classic korean food and fusion twists like pork belly tacos ."
] | [['korean food', 'food quality', 'positive', 'classic'], ['fusion twists', 'food quality', 'positive', 'NULL'], ['pork belly tacos', '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 hot dogs are good , yes , but the reason to get over here is the fantastic pork croquette sandwich , perfect on its supermarket squishy bun ."
] | [['hot dogs', 'food quality', 'positive', 'good'], ['pork croquette sandwich', 'food quality', 'positive', 'fantastic'], ['bun', 'food quality', 'positive', 'perfect']] | 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 | [
"restaurant with a view"
] | [['view', 'location 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 | [
"the food tasted very good ."
] | [['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 main entree was also very good ."
] | [['main entree', '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 | [
"price is high but the food is good , so i would come back again ."
] | [['food', 'food quality', 'positive', 'good'], ['food', 'food prices', 'negative', 'high'], ['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 | [
"this place does n ' t make any sense"
] | [['place', '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 | [
"just want to warn you all - do n ' t waste your time and money ."
] | [['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 has totally weird decor , stairs going up with mirrored walls - i am surprised how no one yet broke their head or fall off the stairs - mirrored walls make you dizzy and delusional . . ."
] | [['decor', 'ambience general', 'negative', 'weird'], ['mirrored walls', 'ambience general', 'negative', 'dizzy'], ['mirrored walls', 'ambience general', 'negative', 'delusional']] | 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 not inviting and the food is totally weird ."
] | [['place', 'ambience general', 'negative', 'not inviting'], ['food', 'food quality', 'negative', 'weird']] | 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 concept of japanese tapas is newly created and clearly does n ' t work ."
] | [['japanese tapas', 'food style_options', 'negative', "does n ' t work"]] | 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 | [
"good food"
] | [['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 food was great and tasty , but the sitting space was too small , i do n ' t like being cramp in a corner ."
] | [['food', 'food quality', 'positive', 'great'], ['food', 'food quality', 'positive', 'tasty'], ['sitting space', 'ambience general', 'negative', 'too small']] | 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 | [
"over all it was a very nice romantic place ."
] | [['place', 'restaurant general', 'positive', 'nice'], ['place', 'ambience 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 | [
"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 | [
"a coworker and i tried pacifico after work a few fridays and loved it ."
] | [['pacifico', '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 atmosphere was great ."
] | [['atmosphere', 'ambience 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 | [
"the food we ordered was excellent , although i would n ' t say the margaritas were anything to write home about ."
] | [['food', 'food quality', 'positive', 'excellent'], ['margaritas', 'drinks quality', '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 | [
"our waitress was n ' t mean , but not especially warm or attentive either ."
] | [['waitress', 'service general', 'neutral', "n ' t mean"], ['waitress', 'service general', 'neutral', 'not especially warm or 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 | [
"i must say i am surprised by the bad reviews of the restaurant earlier in the year , though ."
] | [['restaurant', 'restaurant general', 'positive', 'bad']] | 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 | [
"regardless , we ' ll be back and ca n ' t wait to visit in the summer to take advantage of the patio ."
] | [['patio', 'ambience general', 'positive', 'NULL'], ['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 | [
"dumbfoundingly poor"
] | [['NULL', 'restaurant general', 'negative', 'poor']] | 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 was , from start to finish , a mind - bogglingly uncomfortable experience ."
] | [['NULL', 'restaurant general', 'negative', 'uncomfortable']] | 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 | [
"lexicographers take note : a new and fascinating definition of rudeness is alive and flourishing right here in brooklyn ."
] | [['NULL', 'service general', 'negative', 'rudeness']] | 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 servers at flatbush farm appear to have perfected that ghastly technique of making you feel guilty and ashamed for deigning to attract their attention ."
] | [['servers', 'service general', 'negative', 'perfected']] | 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 | [
"polite acknowledgement is out ;"
] | [['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 | [
"and how many times can you pick up the same perfectly aligned set of napkins , inspect them vapidly and plonk them down in exactly the same place instead of venturing a glance at people who are there to help you make the rent ?"
] | [['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 | [
"a different server enhanced the fun , dumping our entrees in front of us halfway through our appetizer ( which was delicious ) ."
] | [['server', 'service general', 'negative', 'enhanced'], ['appetizer', '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 | [
"overall the food quality was pretty good , though i hear the salmon is much better when it has n ' t sat cooling in front of the guest ."
] | [['food', 'food quality', 'positive', 'good'], ['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 | [
"the place has a nice fit - out , some attractive furnishings and , from what i could tell , a reasonable wine list ( i was given the food menu when i asked for the carte des vins )"
] | [['fit - out', 'ambience general', 'positive', 'nice'], ['furnishings', 'ambience general', 'positive', 'attractive'], ['wine list', 'drinks style_options', 'positive', 'reasonable'], ['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 | [
"at $ 120 for two people , however , this in no way represents value , unless you ' re looking to pay by the hour for passive - aggressive torture ."
] | [['NULL', 'restaurant prices', 'negative', 'NULL'], ['NULL', 'restaurant general', 'negative', 'NULL'], ['NULL', 'service general', 'negative', 'passive - aggressive']] | 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 | [
"on that scale , it ' s a world - beater ."
] | [['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 | [
"how is this palce still open ?"
] | [['palce', '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 | [
"i honestly do n ' t even know where to begin ."
] | [['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 | [
"we arrived and were seated immediately , which made us both happy ."
] | [['NULL', 'service general', 'positive', 'happy']] | 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 was going good until we got our meals ."
] | [['meals', 'food quality', 'negative', 'NULL'], ['NULL', 'restaurant 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 | [
"i took one look at the chicken and i was appalled ."
] | [['chicken', 'food style_options', 'negative', 'appalled']] | 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 was served with skin , over a bed of extremely undercooked spinach and mashed potatoes ."
] | [['spinach', 'food quality', 'negative', 'undercooked'], ['NULL', 'food style_options', '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 | [
"i took one bite from the $ 24 salmon , and i have never , in the 17 years i have been going to restaurants tasted salmon as fishy , as dry , and as bland as the one in flatbush farms ."
] | [['salmon', 'food prices', 'negative', 'NULL'], ['salmon', 'food quality', 'negative', 'fishy'], ['salmon', 'food quality', 'negative', 'dry'], ['salmon', 'food quality', 'negative', 'bland']] | 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 | [
"at this point , the waitress comes over and asks us if everything was okay , i was literally so shocked that i was speechless and did n ' t say anything , and guess what , the waitress walked away ."
] | [['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 | [
"so , i switch with my boyfriend again to see if maybe i could stomach the meat and spinach again , but the spinach was so undercooked that i just could not bite through it ."
] | [['spinach', 'food quality', 'negative', 'undercooked']] | 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 could n ' t even enjoy the mashed potatoes because it was hidden completely under the chicken and spinach ."
] | [['NULL', 'food style_options', '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 | [
"so i decide to report back to the waitress because it was completely inedible ."
] | [['NULL', 'food quality', 'negative', 'inedible']] | 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 | [
"guess what , i waited for twenty minutes before she came over and when she finally did , she says , ` ` oh well , i wish you would have said something earlier ' ' no apology , nothing ."
] | [['NULL', 'service general', 'negative', 'nothing']] | 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 | [
"after that she simply took our plates , walked away , came back another twenty minutes later with the bill and the chicken on it ! ! ! ! ! ! ! ! ! ! ! !"
] | [['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 | [
"no desert menu , no apology , nothing ! ! ! ! ! !"
] | [['NULL', 'service general', 'negative', 'nothing']] | 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 where it really really gets bad : the manager said , there is absolutely nothing we can do , it ' s a matter of taste that she did n ' t like it , and i can not comp it ."
] | [['manager', 'service general', 'negative', 'bad']] | 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 | [
"again , no apology , no is there anything else i can get you , no can i get you a drink to make up for it , nothing ! ! ! !"
] | [['NULL', 'service general', 'negative', 'nothing']] | 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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generation | acos | [
"the level of rudeness was preposterous ."
] | [['NULL', 'service general', 'negative', 'preposterous']] | 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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generation | acos | [
"the manager came to the table and said we can do what we want , so we paid for what we did enjoy , the drinks and appetizers , and walked out ."
] | [['manager', 'service general', 'negative', 'NULL'], ['drinks', 'drinks quality', 'positive', 'enjoy'], ['appetizers', 'food quality', 'positive', 'enjoy']] | 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 never ever had such an unpleasant experience ."
] | [['NULL', 'restaurant general', 'negative', 'unpleasant']] | 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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generation | acos | [
"this staff should be fired ."
] | [['staff', 'service general', 'negative', 'fired']] | 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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generation | acos | [
"cirspy crust margherita pizza"
] | [['margherita pizza', 'food quality', 'positive', 'cirspy'], ['margherita pizza', 'food quality', 'positive', 'crust']] | 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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generation | acos | [
"it was really good pizza ."
] | [['pizza', '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']] ' |
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generation | acos | [
"the crust was imazingly cooked well and pizza was fully loaded : ) : ) : )"
] | [['crust', 'food quality', 'positive', 'cooked well'], ['pizza', 'food style_options', 'positive', 'fully loaded']] | 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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generation | acos | [
"you know what i mean all the positives things happening there made mw write this review ."
] | [['NULL', 'restaurant general', 'positive', 'positives']] | 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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generation | acos | [
"i ' ll being with a couple of positives : cool decor , good pita and hummus , and grilled octopus that was actually pretty tasty ."
] | [['decor', 'ambience general', 'positive', 'cool'], ['pita', 'food quality', 'positive', 'good'], ['hummus', 'food quality', 'positive', 'good'], ['grilled octopus', 'food quality', 'positive', 'tasty']] | 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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generation | acos | [
"if i could give 0 stars i would do so for this place ."
] | [['place', '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']] ' |
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generation | acos | [
"the reason there are 4 different results on citysearch for the same place is because they keep trying to start a new thread so they can stock it with positive reviews ."
] | [['NULL', 'restaurant miscellaneous', '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']] ' |
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generation | acos | [
"well . . . they can run but they ca n ' t hide ."
] | [['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']] ' |
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generation | acos | [
"this place . . . god where do i begin ."
] | [['place', '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']] ' |
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generation | acos | [
"the decor however seems to be the distraction so you wo n ' t notice that you just payed 300 bucks for some cold eggplant that took 2 frickin hours to come ! ! ! !"
] | [['decor', 'ambience general', 'neutral', 'distraction'], ['eggplant', 'food quality', 'negative', 'cold'], ['eggplant', 'food prices', 'negative', 'NULL'], ['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']] ' |
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generation | acos | [
"great hot dogs !"
] | [['hot dogs', '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']] ' |
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generation | acos | [
"the hot dogs are top notch , and they ' re slamwich is amazing !"
] | [['hot dogs', 'food quality', 'positive', 'top notch'], ['slamwich', 'food quality', 'positive', 'amazing']] | 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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generation | acos | [
"going to bark is always worth the train ride , and will make your tongue and belly very happy !"
] | [['bark', 'restaurant general', 'positive', 'worth'], ['NULL', 'food quality', 'positive', 'happy']] | 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']] ' |