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generation | mams | [
"After lunch, we sat at the bar and chatted with the bartender who was also very nice."
] | [['lunch', 'neutral'], ['bartender', '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 | [
"FINALLY the waitress came with our food after an HOUR!"
] | [['waitress', 'negative'], ['food', '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 were pleasant and easy-going and took time to explain the specials to us as well as answer any questions we might have had."
] | [['staff', 'positive'], ['specials', '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 entree was just some noodles in a butter sauce with no texture or color, except for a little bit of spinach which was more like a garnish."
] | [['entree', 'neutral'], ['noodles in a butter sauce', 'neutral'], ['texture', '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 | [
"Attention to detail in the ingredients, always cut to the right size so as to blend the flavor with the tastes of spices pefectly in your mouth."
] | [['ingredients', 'neutral'], ['flavor', 'positive'], ['tastes', 'positive'], ['spices', '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 | [
"sashimi was meh, salmon was good but the tuna was a little white and seemed like the day before as the flavor had faded."
] | [['sashimi', 'positive'], ['salmon', 'positive'], ['tuna', '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 | [
"The two vegetarian dishes on the menu were just an afterthought--why did they even bother?"
] | [['vegetarian dishes', 'neutral'], ['menu', '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 kept me waiting 10 minutes (attempting to read seating chart which I assume was in cyrillic) before determining whether she could seat us."
] | [['hostess', 'negative'], ['waiting', 'neutral'], ['seating', '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, even though he was serving dinner, was SO out to lunch."
] | [['waiter', 'negative'], ['lunch', '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 portions were pretty small for the price, I thought, and I never got the coffee I ordered."
] | [['portions', 'negative'], ['price', 'neutral'], ['coffee', '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 server absolutely did not know what in the world he was talking about when we aske questios about the menu, and he barely spoke English."
] | [['server', '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 | [
"Fresh, original, creative, absolutely delicious - Perhaps I would chose a table at this cozy Italian corner versus an NYC top 5?"
] | [['table', 'neutral'], ['corner', '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 | [
"Always try one of the daily specials, in addition to all the tasty morsels on the menu."
] | [['daily specials', '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 | [
"(dissapointed) Over price for a lunch menu, including the lunch specials(be smart."
] | [['price', 'negative'], ['lunch menu', 'neutral'], ['lunch specials', '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 only saw one waitress for the entire place, and small as it is, she only came to our table to take our order and take away plates, not once asking us if our food was to our liking."
] | [['waitress', 'negative'], ['place', 'neutral'], ['food', '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 | [
"Starting off with an excellent carafe of Cotes du rhone suggested by the waiter, we soon ordered a few appetizers like the steak tartare, the escargot and the goat cheese tart."
] | [['waiter', 'positive'], ['appetizers', 'neutral'], ['steak tartare', 'neutral'], ['escargot', 'neutral'], ['goat cheese tart', '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 | [
"Space gets kind of crowded in there--because it's so popular--but it's worth the wait because the food is very good."
] | [['Space', 'negative'], ['wait', 'positive'], ['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 | [
"Tables are a little cramped, but dinner or lunch for 2 is fine."
] | [['Tables', '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 | [
"We sat for 20-40min without water or bread and were basically ignored by the waitstaff."
] | [['water', 'neutral'], ['bread', 'neutral'], ['waitstaff', '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 Server took the order and disappeared for the entire rest of the night until we had to stop him b/c the bus boy knocked over our entire bottle of red wine soaking the white table cloth, the seats and our business suits."
] | [['Server', 'negative'], ['seats', '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 the cost of the lunch I expected much better service."
] | [['cost', 'neutral'], ['lunch', 'neutral'], ['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 went here for a dinner with some relatives from out of town that I was eager to catch up with, but the noise level at this place made that really difficult!"
] | [['dinner', 'neutral'], ['noise level', '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 wait time for food can be long, so don't dine here if you're in a hurry."
] | [['wait time', 'negative'], ['food', '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 think that the second floor is better if you prefer a quieter environment for dinner."
] | [['environment', '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 | [
"The wait staff is friendly and helpful and kudos to the sushi chef Hero who serves up great dishes on and off the menu and is always wearing a smile."
] | [['wait staff', 'positive'], ['sushi chef', 'positive'], ['dishes', '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 | [
"Try the sticky rice in lotus leaves, and finish with the almond jellow for dessert - if you don't like these dishes then you probably don't like real Chinese food!"
] | [['rice', 'positive'], ['almond', 'neutral'], ['dessert', 'neutral'], ['Chinese 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 | [
"Our waiter (a real cutie) had to ask us twice for our entree selections, the coffee orders were wrong and after saying, no, thanks, the pepper man poised his mill above my friend's calamari dish and ground away."
] | [['waiter', 'negative'], ['entree', 'neutral'], ['pepper man', '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 | [
"Portions enough for 2 meals."
] | [['Portions', 'positive'], ['meals', '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 waitress was surly -- refused to bring sweetner for my tea!!"
] | [['waitress', 'negative'], ['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 | [
"I ordered the strip steak medium - the waiter or the chef reversed our requests."
] | [['steak', 'neutral'], ['waiter', 'negative'], ['chef', '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 waitresses are so nice and will even help you pick a meal if you are new to spanish food."
] | [['waitresses', 'positive'], ['meal', 'neutral'], ['food', '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 | [
"There is a bar right by the door, which is convenient while waiting in the long lines for a seat and be prepared to wait on the weekends."
] | [['bar', 'neutral'], ['lines', 'negative'], ['seat', '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 ended up wasting $24 on the most expensive dish on the menu."
] | [['dish', '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 | [
"The food is well thought out and each bite should contain a little of everything on your dish for the full effect."
] | [['food', 'positive'], ['dish', 'neutral'], ['effect', '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 neither tasty nor reasonably priced ($137 for four with one glass of wine total?"
] | [['food', 'negative'], ['priced', 'negative'], ['glass of 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 | [
"I waited for 45 minutes for my entree to realize that the waiter never put the order in."
] | [['entree', '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 | [
"Our hostess was more concerned about the appearance of the banquets than wether we had the right menus."
] | [['hostess', 'negative'], ['menus', '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 sat in the tables in front of the bar and it was a good people watching spot."
] | [['bar', 'neutral'], ['spot', '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 | [
"On top of that, when we tried to order more food half-way through our first entree order, the waitress told us that we couldn't because they needed the table for another reservation!"
] | [['waitress', '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 | [
"However, didnt take too long to get drinks and the hostess seated us promptly."
] | [['drinks', '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 | [
"Their pasta isn't spectacular nor is their marinara sauce, but their appetizers are wonderful."
] | [['pasta', 'negative'], ['marinara sauce', 'negative'], ['appetizers', '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 was craving for the Chicken Penne for a long time after that, and so I went and ordered it for lunch, but the chicken was not fresh and the bread was tough too."
] | [['lunch', 'neutral'], ['bread', '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 | [
"Its the perfect place to take a date, start out with dinner and then stick around for dancing!"
] | [['place', '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 | [
"i went here on a whim and found out you could get sushi for half price kind of like happy hour."
] | [['sushi', 'neutral'], ['price', '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 | [
"Although there were many open tables, the manager insisted my party wait at the bar for over one hour."
] | [['manager', '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 | [
"the best thing is the atmosphere, but even that is overshadowed by the lack of taste and originality in the food."
] | [['atmosphere', 'positive'], ['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 | [
"The food is very good for the price."
] | [['food', 'positive'], ['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 | [
"That, the Peruvian style rotisserie chicken (get a whole one) and a side dish plus don't forget - chicha moradas: a refreshing non-alcoholic drink made from boiled purple corn and lime juice with tiny pear cubes and a bit of sugar."
] | [['Peruvian style rotisserie chicken', 'positive'], ['side dish', 'positive'], ['non-alcoholic drink', 'neutral'], ['sugar', '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 did not come back once to reserve our wine."
] | [['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 | [
"We shared three appetizers, (bruschetta's a good bet) a salad, a pasta dish, a quatro (about 3 glasses?)"
] | [['appetizers', 'neutral'], ['bruschetta', 'positive'], ['pasta dish', '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 line is long, but the staff keeps it moving and usually everyone is friendly."
] | [['line', 'negative'], ['staff', '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 menu was still small, but the quality of food that came out of the kitchen was superb, and the service was not bad at all."
] | [['quality of food', 'positive'], ['kitchen', 'neutral'], ['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 waiter knows us now, and the owner bought us a round of drinks once because the dessert took too long (in his opinion, we didn't even complain)."
] | [['waiter', 'negative'], ['owner', 'negative'], ['round of drinks', 'neutral'], ['dessert', '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 meal here was awesome, the appetizers, the bar finger food, the service, the drinks, the entrees of Smoked fish, Lamb salad, Clay pot salmon, Lobster rolls, and the dining room is spectacular."
] | [['meal', 'positive'], ['bar finger food', 'neutral'], ['service', 'neutral'], ['drinks', 'neutral'], ['entrees of Smoked fish', 'neutral'], ['Lamb salad', 'neutral'], ['Clay pot salmon', 'neutral'], ['Lobster rolls', 'neutral'], ['dining room', '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 | [
"If you happen to catch it when no one else is there, sit down at the table, get a tea and try the coconut cake."
] | [['table', 'neutral'], ['coconut cake', '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 | [
"That said, I made sure to pay before we had coffee, so that the server was not waiting on us to pay; and I left a 30% tip, knowing we'd be there for a while."
] | [['coffee', 'neutral'], ['server', 'negative'], ['waiting', '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 | [
"Our waitress forgot to bring me another margarita, but somehow she managed to get it on the bill."
] | [['waitress', 'negative'], ['margarita', '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 DJ at the bar kept the place alive."
] | [['DJ', '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 | [
"The ambiance and service is great but I wish I could say the same about the food."
] | [['ambiance', 'positive'], ['service', 'positive'], ['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 | [
"We were ignored by our waitress after our entrees had been served."
] | [['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 | [
"The menu is slightly different from downtown, but they still have my favorites -- madai salad with hot sesame oil, shrimp kanzuri, the diamond roll, the crispy shrimp roll."
] | [['menu', 'neutral'], ['shrimp roll', '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 | [
"Forget the phony yuppies of Areos and The Pearl Room, and ENJOY the down home service and OUTSTANDING food here."
] | [['Pearl Room', 'neutral'], ['service', 'positive'], ['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 | [
"Nothing like using iceberg lettuce, cooked chicken and a tangy salad dressing just to put a fancy name like Vietnamese Lemon Grass Chicken on an overpriced dish."
] | [['iceberg lettuce', 'neutral'], ['Vietnamese Lemon Grass Chicken', 'neutral'], ['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 | [
"ONE OF THE BEST PIZZA IN BROOKLYN , NEED AN AC FOR SUMMER."
] | [['PIZZA', 'positive'], ['SUMMER', '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 environment is a touch loud (although the music's good), but the walls sport nifty vintage items, from license plates to pennants to movie posters."
] | [['environment', 'negative'], ['music', 'positive'], ['plates', '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 came here b/c someone gave a trashy review to my favorite coffee place (Grey Dog's) and compared it to this place so I had to see for myself what was so great about 71."
] | [['coffee place', 'positive'], ['Grey Dog', '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 | [
"Even as a stranger, the service at the bar was excellent as was the wait staff who continuously checked back to see if I was okay while waiting for my party."
] | [['service', 'positive'], ['bar', 'neutral'], ['wait staff', 'positive'], ['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 a short wait at the bar (which was very crowded), we were seated upstairs at a private table."
] | [['wait', 'neutral'], ['bar', '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 | [
"Rely on your food, your chef, your decor, your impeccable service, SOMETHING other than creating some fake VIP atmosphere to make people feel as if they need to gain admission in order to feel better about themselves."
] | [['food', 'positive'], ['chef', 'positive'], ['decor', 'positive'], ['service', 'positive'], ['atmosphere', '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 | [
"Looked good, lacked in seasoning, maybe that's why they leave the Old Bay on the Table, to season everything yourself."
] | [['seasoning', 'negative'], ['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 | [
"The owner circles the place asking patrons if their meals are fine."
] | [['owner', 'positive'], ['meals', '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 | [
"OK so the decor is a little old and tacky but it adds to the atmosphere."
] | [['decor', 'negative'], ['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 | [
"Yoguart/mint/jalipeno sauce for instance didn't work with asparagus."
] | [['Yoguart/mint/jalipeno sauce', 'negative'], ['asparagus', '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 go to Hing Won pretty often for lunch because it is close by and the prices are right."
] | [['lunch', 'neutral'], ['prices', '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 | [
"Just make sure everyone is in your party is there together or you'll be waiting on the sidewalk or in the cramped bar next door."
] | [['waiting', 'neutral'], ['bar', '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, of course had no knowledge of the yet to be produced wine list and no wine steward or manager bothered to come by the table to check in."
] | [['waiter', 'negative'], ['manager', 'negative'], ['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 | [
"For dessert I had the green tea tiramisu and ice cream- I loved both, my bf who doesn't really like green tea actually really liked the tiramisu."
] | [['dessert', 'neutral'], ['green tea tiramisu', '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 ambience is stunning and the food is really good, but the portions are RIDICULOUSLY small."
] | [['ambience', 'positive'], ['food', 'positive'], ['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 | [
"For those who don't like that you have to make a reservation, to the restaurant's credit, this allows the restaurant to remain uncrowded and seat you immediately (at least this happened to my party)."
] | [['reservation', 'neutral'], ['seat', '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 | [
"Not the ideal spot when you're really hungry -- the plates are tiny and the prices not (like every other upscale tapas place)."
] | [['spot', 'negative'], ['plates', 'negative'], ['prices', 'negative'], ['tapas', '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 crust was good, the flavor was good (I think they grate some sort of hard cheese over the pie), but the pizza was a bit watery, with the cheese sliding off rather than clinging to the slice."
] | [['crust', 'positive'], ['flavor', 'positive'], ['pie', 'neutral'], ['pizza', '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 had to wait quite a while to get my food and the waitress almost knocked me in the head with her tray."
] | [['food', '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 | [
"AND you can still smoke at the outermost area of the patio - the wait staff can't technically serve you there because of the smoking, but if you don't mind walking to the bar to place an order (I don't), it's a great solution for smokers."
] | [['area', 'neutral'], ['patio', 'neutral'], ['bar', 'neutral'], ['solution', '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 last time I was there (last week) our food took a little too long and a manager promptly apologized and offered to comp our desserts (not expected but appreciated)."
] | [['food', 'negative'], ['manager', '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 | [
"Once seated, there was no waitress to give us our menus."
] | [['seated', 'neutral'], ['waitress', 'negative'], ['menus', '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 it can be expensive, since you buy the fish and sides seperate and soem might get tired of shelling the shrimp themselves."
] | [['fish', 'neutral'], ['sides', 'neutral'], ['shrimp themselves', '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 | [
"If going for lunch, best to go by 12:30, even if getting take-out, the place is tiny and fills up quickly, both with people eating there, and standing waiting for take-out orders."
] | [['lunch', 'neutral'], ['place', 'positive'], ['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 | [
"Whether it is a weekend brunch, dinner, or just hanging at the bar for cocktails, we always have THE BEST TIME."
] | [['bar', 'neutral'], ['TIME', '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 | [
"8pm reservation, place was half empty on a Saturday."
] | [['reservation', 'neutral'], ['place', '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 | [
"It came with a (small) salad, large bowl of udon, and 6 pieces of sushi plus wrapped rice (not sure what that was called."
] | [['salad', 'neutral'], ['bowl of udon', '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 did like the shrimp dish, but I don't know if I'd seek out their cuisine again."
] | [['shrimp dish', 'negative'], ['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 | [
"Extremely RUDE servers who intially took our order and never returned with drinks or to see if we required anythign else."
] | [['servers', '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 | [
"The dining rooms are opulent and beautiful; Great waiter who brought out a special birthday desert for my date after asking if our dinner was a special occasion."
] | [['dining rooms', 'positive'], ['waiter', 'positive'], ['desert', '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']] |
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generation | mams | [
"I tried several dishes, while at dinner with friends, and was amazed to discover that even their Caesar Salad was completely lacking in flavor."
] | [['dinner', 'neutral'], ['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']] |
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generation | mams | [
"4-Got attitude from the waitress at every moment she was at the table."
] | [['waitress', 'negative'], ['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']] |
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generation | mams | [
"There was a short wait for a table, which we spent at the bar, then we were seated on their patio."
] | [['wait', 'positive'], ['table', 'neutral'], ['bar', 'neutral'], ['patio', '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 | [
") Not only do they do the shabu write with good ingredients, the sauces are both great, i recommend sesame for the meats and the other one for vegetables."
] | [['ingredients', 'positive'], ['the sauces', 'positive'], ['sesame', 'neutral'], ['meats', 'neutral'], ['vegetables', '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 | [
"From the sushi to the terayki the food is excellent and the service (with a smile) is unmatched."
] | [['sushi', 'neutral'], ['food', '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']] |
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generation | mams | [
"The Food Chef Tom Kearney (Blue Hill, Jean-Georges) presides over the contemporary, pared-down menu."
] | [['Food Chef', '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']] |
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generation | mams | [
"i've been there for lunch - when the place is empty- and the waiter spent more time outside, soaking up the sun for himself, like he was a patron."
] | [['lunch', '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']] |