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generation | semeval-2015 | [
"However, if you want great food at a great price and don't mind the decor, you can't beat this place."
] | [['food', 'food quality', 'positive'], ['decor', 'ambience general', 'neutral'], ['food', 'food prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Quick and friendly service."
] | [['service', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"This is one of the best comfort food places in the city."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"It's somewhere you can eat and be happy."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"When you're sitting in their main dining room (which has a spectacular, hand-painted high ceiling) you'd never know there was a world outside."
] | [['main dining room', 'ambience general', 'positive'], ['ceiling', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The food is wonderful, tasty and filling, and the service is professional and friendly."
] | [['food', 'food quality', 'positive'], ['food', 'food style_options', 'positive'], ['service', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I can't wait for summer, when they serve outside on their gigantic patio."
] | [['patio', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I recently tried Suan and I thought that it was great."
] | [['Suan', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"This little place definitely exceeded my expectations and you sure get a lot of food for your money."
] | [['food', 'food style_options', 'positive'], ['place', 'restaurant general', 'positive'], ['food', 'food prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The service was fast and friendly and the food was very tasty and they had the best hot sauce to add to your meals."
] | [['service', 'service general', 'positive'], ['food', 'food quality', 'positive'], ['hot sauce', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I have to say that I am pleasantly suprised and I will most likely stop in again if I am in the neighborhood."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"They all know you."
] | [['NULL', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Good food."
] | [['food', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Good drink."
] | [['drink', 'drinks quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"How do you rate home?"
] | [['NULL', 'restaurant miscellaneous', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I have never had cheescake like this."
] | [['cheescake', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"I thought I had died and gone to heaven."
] | [['NULL', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Great spot, whether looking for a couple of drinks or quiet dinner."
] | [['spot', 'restaurant general', 'positive'], ['spot', 'restaurant miscellaneous', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Warm and friendly in the winter and terrific outdoor seating in the warmer months."
] | [['NULL', 'ambience general', 'positive'], ['outdoor seating', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The food is great and they have a good selecion of wines at reasonable prices."
] | [['food', 'food quality', 'positive'], ['wines', 'drinks style_options', 'positive'], ['wines', 'drinks prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Have been several times and it never dissapoints."
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We were less than impressed."
] | [['NULL', 'restaurant general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"While the ambiance and atmosphere were great, the food and service could have been a lot better."
] | [['ambiance', 'ambience general', 'positive'], ['atmosphere', 'ambience general', 'positive'], ['food', 'food quality', 'negative'], ['service', 'service general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"We ordered the chicken casserole, but what we got were a few small pieces of chicken, all dark meat and on the bone."
] | [['chicken casserole', 'food quality', 'negative'], ['chicken casserole', 'food style_options', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Probably would not go again..."
] | [['NULL', 'restaurant general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"i've been to sapphire twice and both times the food was fine, if not good."
] | [['food', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"stick with the chicken, beef, and lamb dishes."
] | [['chicken', 'food quality', 'positive'], ['beef', 'food quality', 'positive'], ['lamb dishes', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"service is friendly, and never had a problem walking in and getting a table."
] | [['service', 'service general', 'positive'], ['NULL', 'restaurant miscellaneous', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"skip dessert."
] | [['dessert', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Best Reuben sandwich ever!"
] | [['Reuben sandwich', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"A classic!"
] | [['NULL', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Don't miss Bloom's on your next trip to Manhatten."
] | [["Bloom's", 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"It was the first place we ate on our first trip to New York, and it will be the last place we stop as we head out of town on our next trip to New York."
] | [['place', 'restaurant miscellaneous', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Thanks Bloom's for a lovely trip."
] | [["Bloom's", 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"The food was not fresh, the sauces were bland and very oily."
] | [['food', 'food quality', 'negative'], ['sauces', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"It just wasn't Thai."
] | [['NULL', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Was surprisingly disappointed."
] | [['NULL', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Pizza was a little soggy."
] | [['Pizza', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Ravioli was good...but I have to say that I found everything a bit overpriced."
] | [['Ravioli', 'food quality', 'positive'], ['NULL', 'food prices', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Not enough wines by the glass either."
] | [['wines by the glass', 'drinks style_options', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Service, however, was excellent...and I liked the setting/atmosphere a lot. "
] | [['Service', 'service general', 'positive'], ['setting/atmosphere', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Food was just average...if they lowered the prices just a bit, it would be a bigger draw."
] | [['Food', 'food quality', 'neutral'], ['NULL', 'restaurant prices', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"This place is a great bargain."
] | [['place', 'restaurant prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
||
generation | semeval-2015 | [
"Authentic Pakistani food."
] | [['Pakistani food', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"People are always friendly."
] | [['People', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Just straight up cheap, good food."
] | [['food', 'food quality', 'positive'], ['food', 'food prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Faan is sooo good."
] | [['Faan', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"The best pad thai i've ever had."
] | [['pad thai', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"The design and atmosphere is just as good."
] | [['design', 'ambience general', 'positive'], ['atmosphere', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"bottles of wine are cheap and good."
] | [['bottles of wine', 'drinks prices', 'positive'], ['bottles of wine', 'drinks quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"What more could you want?"
] | [['NULL', 'restaurant general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"The food was actually aweful."
] | [['food', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"I'm not picky - but it was actually gross."
] | [['NULL', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"The mussles were the fishiest things I've ever tasted, the seabass was bland, the goat cheese salad was missing the goat cheese, the penne w/ chicken had bones in it... It was disgusting."
] | [['mussles', 'food quality', 'negative'], ['seabass', 'food quality', 'negative'], ['goat cheese salad', 'food quality', 'negative'], ['penne w/ chicken', 'food quality', 'negative'], ['NULL', 'food quality', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Nice atmosphere, the service was very pleasant and the desert was good."
] | [['atmosphere', 'ambience general', 'positive'], ['service', 'service general', 'positive'], ['desert', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Wouldn't recomend it for dinner!"
] | [['NULL', 'restaurant general', 'negative']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"This is the perfect date spot for Williamsburg couples."
] | [['NULL', 'restaurant miscellaneous', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"The jukebox plays everything from Italian Opera to The Strokes."
] | [['jukebox', 'ambience general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"The food is amazing, rich pastas and fresh doughy pizza."
] | [['food', 'food quality', 'positive'], ['pastas', 'food style_options', 'positive'], ['pizza', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Best of all is the warm vibe, the owner is super friendly and service is fast."
] | [['vibe', 'ambience general', 'positive'], ['owner', 'service general', 'positive'], ['service', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"If only they delivered, they'd make a mint!"
] | [['NULL', 'restaurant miscellaneous', 'neutral']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"go here for the drinks!"
] | [['drinks', 'drinks quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"the drinks are amazing and half off till 8pm."
] | [['drinks', 'drinks quality', 'positive'], ['drinks', 'drinks prices', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"Ask for Usha, the nicest bartender in manhattan."
] | [['Usha', 'service general', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"My fav was the sassy lassi..."
] | [['sassy lassi', 'drinks quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"This is an amazing place to try some roti rolls."
] | [['roti rolls', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |
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generation | semeval-2015 | [
"I really recommend the very simple Unda (Egg) rolls."
] | [['Unda (Egg) rolls', 'food quality', 'positive']] | none | Task: Extracting aspect terms, aspect categories and their corresponding sentiment polarities. Input: A sentence. Output: A list of 3-tuples where each tuple contains the extracted aspect term , aspect category their corresponding sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "Delicate spices, onions, eggs and a kick-ass roti." Output: [['spices', 'food quality', 'positive'], ['onions', 'food quality', 'positive'], ['eggs', 'food quality', 'positive'], ['roti', 'food quality', 'positive']] |