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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']]
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']]
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']]
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']]
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']]
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']]
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']]
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']]