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generation | mams | [
"A collection of stormy sea paintings and two mermaid figureheads hoisting lights above the bar set a lulled maritime mood."
] | [['sea paintings', 'positive'], ['bar', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Not just that tapas was small portions (duh) but, for example, $10 piggy-back dates only came with 6 little appetizers."
] | [['tapas', 'neutral'], ['portions', 'negative'], ['appetizers', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The california roll was too big and overfilled with imitation crab meat, so it's not the best I had."
] | [['california roll', 'negative'], ['crab meat', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Their delivery of fresh hot pizza."
] | [['delivery', 'neutral'], ['pizza', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Try Le Madeleine for a similar price but much better food."
] | [['price', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food is excellent so long as you like Austrian cuisine."
] | [['food', 'positive'], ['cuisine', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"It's a place for the owner staff's friends, so if you're not one of them, you're in for a wait."
] | [['owner staff', 'negative'], ['wait', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The ensuing dinner was definitely worth the wait; I'll be dreaming about chef Jodi Williams' extraordinary fried squash blossoms for a long time."
] | [['ensuing dinner', 'positive'], ['chef', 'neutral'], ['fried squash blossoms', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Besides the price, here are some other annoyances: bleaching the floors during the dinner and automatically charging you 20% gratuity on your credit card without your knowledge."
] | [['price', 'negative'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"All my favorite dim sum, especially the flaky pastry that contains either curry chicken or roast pork."
] | [['pastry', 'positive'], ['curry chicken', 'neutral'], ['roast pork', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"the pizza is a no-brainer, and the dinners are drastically underrated."
] | [['pizza', 'negative'], ['dinners', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I felt that the meat had little flavor(ribs and chicken) and as result I had to use A ALOT of their bbq sauce (which is good) and the ribs were not falling of the bone."
] | [['meat', 'neutral'], ['flavor', 'negative'], ['bbq sauce', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"the hostess really underestimated the wait time for outdoor seating and never apologized, and our waitress was apathetic and unattentive."
] | [['hostess', 'negative'], ['outdoor seating', 'neutral'], ['waitress', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I have been coming here for several years and know that the staff and bartender would be there with my favorite drinks and dishes I like to eat and drink on any given night."
] | [['staff', 'neutral'], ['drinks', 'positive'], ['dishes', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The music is a little bit louder, but the food is excellent."
] | [['music', 'negative'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"During the weekend nights, the crowd is full of 20 somethings (in which a few look much younger) and is almost Coyote Ugly style where ladies are dancing all over the bar."
] | [['style', 'negative'], ['bar', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"not having a menu was rather strange at first but the food was superb."
] | [['menu', 'neutral'], ['food', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"decent, if greasy, fishsticks, but served on a mound of soggy fries that could feed about 5-6 people!"
] | [['served', 'neutral'], ['fries', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The waiter returned and said the bartender refused to take my drink back because there was nothing wrong with it and I would have to pay for it."
] | [['waiter', 'neutral'], ['bartender', 'negative'], ['drink', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food was certainly fine, although prices were high by any standard, with dinner for four being over $300 without drinks."
] | [['prices', 'negative'], ['dinner', 'neutral'], ['drinks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Not only did we have to flag the waiter down every time for every course or request, but they spilled our drinks twice all over the table - and once was hot tea."
] | [['waiter', 'negative'], ['drinks', 'neutral'], ['tea', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Our waiter didn't know the menu or the ingredients."
] | [['waiter', 'negative'], ['menu', 'neutral'], ['ingredients', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Service was a tad spotty, but the food was VERY good and the noise never detracted from the dining experience."
] | [['Service', 'negative'], ['food', 'positive'], ['experience', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
") My date and I were greeted by the host and informed there would be a slight wait."
] | [['host', 'positive'], ['wait', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The restaurant was recently taken over by new managment and, having eaten there under the prior management, I can say that the quality of the dishes has improved."
] | [['management', 'neutral'], ['quality', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Try the stir fried cube steak, shabu sahbu, or the Oden, or anything else you want to try on the menu."
] | [['stir fried cube steak', 'positive'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I have a litany of complaints -- being over-charged for wine that I didn't order, shady waiters, so-so food that arrived at the table luke warm, main course portion sizes barely large enough to be appetizer sizes, lack of fabulosity that Mr."
] | [['wine', 'neutral'], ['waiters', 'negative'], ['food', 'negative'], ['table', 'neutral'], ['main course portion sizes', 'negative'], ['appetizer', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"If you've been out partying and have a yen for quality Korean food at 3:00am, there's a table waiting for you at Kang Suh Restaurant."
] | [['Korean food', 'positive'], ['table waiting', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"After 10 minutes of waiting, he finally returned to the table and snootily explained to us that the wine he had opened was actually better and more expensive (not yet on the menu, of course), but he would charge us the price of the bottle we had originally ordered."
] | [['waiting', 'neutral'], ['table', 'neutral'], ['wine', 'negative'], ['menu', 'neutral'], ['price', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"sushi portions were bigger than most places and service was average, far better options available in the area."
] | [['sushi portions', 'positive'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The Food There's no need to slump into a well-known comfort zone of teriyaki and udon."
] | [['comfort', 'positive'], ['teriyaki', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The staff didn't even tell us (college kids) about the prix-fixe special, but the pair of older adults sitting next to us took advantage."
] | [['staff', 'negative'], ['prix-fixe special', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The ceviche had way too much onion which masked the flavor of the fish."
] | [['ceviche', 'neutral'], ['onion', 'negative'], ['flavor', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Wonton dough filled with gently steamed and seasoned pork are common but add this amazing soup to the wonton, seal it and serve it steaming hot and the dumpling becomes new again."
] | [['seasoned pork', 'neutral'], ['soup', 'positive'], ['dumpling', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"In Short Take a quick trip to Maine at this classic lobster pound where the outdoor picnic tables are the prime seats in summertime."
] | [['lobster', 'positive'], ['outdoor picnic tables', 'neutral'], ['seats', 'positive'], ['summertime', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I have been dining at Narita for 6 years and have thoroughly enjoyed every meal."
] | [['dining', 'neutral'], ['meal', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The Scene Behind the often-fogged windows at this small restaurant is a homey atmosphere, full of smiling employees and Filipino families crowded around simple red tables."
] | [['Scene', 'neutral'], ['atmosphere', 'positive'], ['employees', 'positive'], ['tables', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The prices were very resonable when you don't factor in the cost of beer (which seemed to be on the high side)."
] | [['prices', 'positive'], ['cost of beer', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The $5 menu does have smaller portions, and I found the ravioli dish to be not too much better than a can of Chef Boyardee."
] | [['menu', 'neutral'], ['portions', 'negative'], ['ravioli dish', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"To enhance the dining experience, there is a live jazz band, which further isolates you from the world outside the gates."
] | [['dining', 'positive'], ['live jazz band', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The tasting menu was delivered at a break-neck pace, leaving no time to enjoy the wine or even digest the food."
] | [['menu', 'positive'], ['wine', 'positive'], ['food', 'positive'], ['pace', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Although the tables may be closely situated, the candle-light, food-quality and service overcompensate."
] | [['tables', 'negative'], ['candle-light', 'positive'], ['food-quality', 'positive'], ['service', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The pasta, chicken and veal dishes are one of the best values in town, almost always served with bread and salad (and pasta for the meat dishes)."
] | [['chicken and veal dishes', 'positive'], ['bread and salad', 'neutral'], ['meat dishes', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"We first got a table next to a VERY loud speaker and had no view, but the waiter was kind enough to move us when we asked."
] | [['table', 'neutral'], ['waiter', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The portions are big so you can split an appetizer."
] | [['portions', 'positive'], ['appetizer', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"But, quickly all would realize that most items on the menu are grease-laden, and the portions are so big that you'd get tired of the flavors before you finish half a plate."
] | [['menu', 'neutral'], ['portions', 'positive'], ['flavors', 'negative'], ['plate', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"We had the 5 course tasting menu and had the waiter select a perfect bottle of wine to go with our selections."
] | [['waiter', 'neutral'], ['bottle of wine', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The daily fresh fish can be remarkably good, served in a variety of combinations, ranging up to the omakase chef's choice dinner."
] | [['daily fresh fish', 'positive'], ['chef', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I arrived with one other person at ~8:30 on a Wed night -- the hostess was very kind and showed me the reservation computer which showed that they were completely booked."
] | [['hostess', 'positive'], ['reservation', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Meals not served at once and service was inattentive and forgetful."
] | [['Meals', 'neutral'], ['served', 'negative'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"My friends and I made plans to go out on Friday for some good latin food and decide to go to Yuca Bar since we've been there for brunch and we love it, we figured dinner has to be good."
] | [['latin food', 'positive'], ['brunch', 'positive'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Yet, it still took over an hour for us to get our food, which was alright; my nephew said his tortellini tasted like Costco, they even forgot to bring my beverage."
] | [['food', 'negative'], ['beverage', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Fish and tomato sauce both have great flavors and the dishes are under $20."
] | [['Fish and tomato sauce', 'neutral'], ['flavors', 'positive'], ['dishes', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"They have recently fired their staff and brought in new people who dont even know how to serve a beer, I might add you are on average paying $6."
] | [['staff', 'negative'], ['beer', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"It was well past 8 pm when they finally got us the check, and we asked for free rounds of champagne to compensate for the poor service (since the wine dinner had started, and were denied."
] | [['champagne', 'neutral'], ['service', 'negative'], ['wine dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Inside as we waited momentarily for our table, the bartender made light conversation as he made our drinks."
] | [['table', 'neutral'], ['bartender', 'positive'], ['drinks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Don't know about the rest of the food, but the burgers are one of New York's hidden treats."
] | [['burgers', 'positive'], ['treats', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"we told our waiter to make five selections for each of us, and he decided instead to charge us for each glass separately instead ($80 instead of $20)."
] | [['waiter', 'negative'], ['glass separately', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"A friendly staff works the room, delivering favorites like crisp, crackling spring rolls and shredded pork rolls wrapped in rice paper."
] | [['staff', 'positive'], ['room', 'neutral'], ['spring rolls', 'positive'], ['pork rolls', 'positive'], ['rice paper', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The place is a little over-priced for brunch but it is a nice restaurant so that was expected Food (i had the omelette with cheddar, mushrooms and herbs), service, coffee, atmosphere were all fantastic."
] | [['place', 'negative'], ['brunch', 'neutral'], ['cheddar', 'neutral'], ['mushrooms', 'neutral'], ['herbs', 'neutral'], ['service', 'positive'], ['coffee', 'positive'], ['atmosphere', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The only other negative, we found the waiter to be slightly pompous, and when I asked him some very basic wine questions, he was lost."
] | [['waiter', 'negative'], ['wine', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Not only did the food take an eternity to come out; but the waiter never checked in, explained the delay for the food, or refreshed our drinks."
] | [['waiter', 'negative'], ['drinks', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"My experience at the The Pearl Room was like no other place in Bay Ridge, you walk into a dimly lit atomsphere and a well dressed crowd."
] | [['Pearl Room', 'neutral'], ['crowd', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food's ok here, but AVOID this place for brunch, dinner or any other time!"
] | [['food', 'positive'], ['brunch', 'neutral'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"For dessert go with the flan as the chocolate cake was not too moist."
] | [['dessert', 'neutral'], ['the chocolate cake', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Unfortunately, service was slow and when our server noticed we had not received our entree he comp'ed us two delightful margaritas - AND charged us only for appetizers , thereby cutting our bill in half."
] | [['service', 'negative'], ['server', 'negative'], ['bill', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The owner promised my party a table and bottle service and took care of it immediately as we all arrived."
] | [['owner', 'positive'], ['table', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"You wanna wait a hour for a cramped table to eat mom's macaroni and cheese?"
] | [['wait', 'neutral'], ['table', 'negative'], ['cheese', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The Food When the counter guy asks, Would you like better fries with that?"
] | [['Food', 'neutral'], ['counter', 'neutral'], ['fries', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Please, please don't waste your money (85 cents for a slice of tomato on your overpriced sandwich."
] | [['slice of tomato', 'neutral'], ['sandwich', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I went there for lunch a couple of times but whenever I went there (even though we pinpointed our order on menu), waitress messed up our order and they never said sorry."
] | [['lunch', 'neutral'], ['menu', 'neutral'], ['waitress', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"What made our visit extra special was that we didn't have room for dessert at the end of our meal (the pasta was so amazing we just kept eating), our waiter suggested we come back after our show, which we did."
] | [['dessert', 'neutral'], ['pasta', 'positive'], ['waiter', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"the place had open doors and windows and a very relaxed, candle-lit type of atmosphere."
] | [['place', 'positive'], ['open doors', 'neutral'], ['atmosphere', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Two minutes later, the waitress said we NEED the table, you can not have the appetizer that you ordered."
] | [['waitress', 'negative'], ['appetizer', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Grabbed a lunch here on a weekday and it was reasonably priced, well-portioned and generally well-prepared."
] | [['lunch', 'neutral'], ['priced', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Fortunately, unlike many Mexican joints, the abundance of cheese never tastes greasy, and portions are filling but not overwhelming."
] | [['Mexican', 'neutral'], ['abundance of cheese', 'negative'], ['portions', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Thought I didn't have reservations, the hostess politely informed me that it would be a 45 minute wait and we were actually seated in 40."
] | [['reservations', 'neutral'], ['hostess', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The waiter never once came back to our table to ask how our meal was OR if we needed another drink."
] | [['waiter', 'negative'], ['meal', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Their desserts were limited - I mean REALLY limited to 2 items (nothing like the online menu)."
] | [['desserts', 'negative'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I haven't eat a lamb chop as delicious as that,the salads are really nice dressed with lemon and extra virgnin olive oil."
] | [['lamb chop', 'positive'], ['salads', 'positive'], ['lemon', 'neutral'], ['extra virgnin olive oil', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"The food and our server(s) were very very excellent, prices were very good, but she's just left a horrible taste in our mouth both times."
] | [['food', 'positive'], ['server', 'positive'], ['prices', 'positive'], ['taste', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"My one recommendation is try not to geta seat by the door, there is a large brass bell that people like to whale on when they leave the place."
] | [['seat', 'negative'], ['door', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Although all of the menu items and specials always sound tantalizing, we often end up ordering the pastaless eggplant lasagna and the gnocchi souffle."
] | [['menu items', 'positive'], ['specials', 'positive'], ['pastaless eggplant lasagna', 'neutral'], ['gnocchi souffle', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"the service was very slow and his knowledge of the menu wasnt that good."
] | [['service', 'negative'], ['menu', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Unfortunately, that lunch can take a loooooong time as the waiters seem to forget food orders, forget drink orders, and forget to refill water glasses."
] | [['lunch', 'neutral'], ['waiters', 'negative'], ['water glasses', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Second, the value was great; after ordering a ton of food and several drinks, the bill still came to less than $40 a person (though I suspect that the nice manager might have given us a few freebees!"
] | [['value', 'positive'], ['food', 'positive'], ['bill', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Great place to get a good fulfilling meal but do not go for ambience or service."
] | [['fulfilling meal', 'positive'], ['ambience', 'negative'], ['service', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"I would feel different if we were just drinking water and eating cake but we had 20 people drinking multiple overpriced beverages AND one friend had called ahead of time to find out about the cake and no one ever picked up the phone."
] | [['water', 'neutral'], ['beverages', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"All the dishes that we had at our table were consistently good, although not great (nor poor, either)."
] | [['dishes', 'positive'], ['table', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"Though the celery root soup was super yummy - everything else was an overpriced letdown- the plates come out looking like it's the depression era."
] | [['celery root soup', 'positive'], ['plates', 'positive'], ['era', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"We waited an hour for our appetizers, (I suspect the waitress forgot to put in our order because the restaurant was not busy) and then the entrees came at the same time!"
] | [['appetizers', 'neutral'], ['waitress', 'negative'], ['entrees', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"After they were done poking and prodding our food, the waiter took it right from their table and tried to give it to us."
] | [['food', 'neutral'], ['waiter', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
||
generation | mams | [
"On top of it all, I was with family from out of town and the only reason I took them there was because a friend had mentioned the place and Coffee Shop had a little wait."
] | [['place', 'neutral'], ['Coffee', 'neutral'], ['wait', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"The portion size / price combo makes it expensive if you're really hungry, but we went for a late dinner."
] | [['portion size / price combo', 'negative'], ['dinner', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"Still the bill was close to $300(with 1 bottle of lower-priced wine)."
] | [['bill', 'neutral'], ['wine', 'positive']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"We have been waiting for months for a 8pm reservation at this very average restaurant."
] | [['waiting', 'negative'], ['reservation', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"bartenders management and at first were a bit disappointed with food."
] | [['bartenders management', 'neutral'], ['food', 'negative']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"They've got some of the best french toast you'll ever eat for Sunday brunch, and while their dinner menu hasn't changed much in the past few years, their food is reliable and they I always find something new in their chicken or fish specials, which are usually prepared with a red or white wine-based sauce."
] | [['brunch', 'neutral'], ['dinner menu', 'neutral'], ['food', 'positive'], ['chicken', 'positive'], ['white wine-based sauce', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"Plus, everything comes in small to average portions, so the next time you get a sushi craving, I don't recommend that you go here."
] | [['portions', 'negative'], ['sushi', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |
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generation | mams | [
"He prepares the most authentic dishes, I guess that's why the bar is usually filled with Japanese."
] | [['dishes', 'positive'], ['bar', 'neutral']] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term and their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The decor is not special at all but their food and amazing prices make up for it." Output: [['decor', 'negative'], ['food', 'positive'], ['prices', 'positive']] |