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generation | semeval-2014 | [
"The drinks are always welll made and wine selection is fairly priced."
] | {'aspect_term': [['drinks', 'positive'], ['wine selection', 'neutral'], ['priced', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'neutral'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"I haven't eat a lamb chop as delicious as that,the salads are really nice dressed with lemon and extra virgnin olive oil."
] | {'aspect_term': [['lamb chop', 'positive'], ['salads', 'positive'], ['lemon', 'positive'], ['extra virgnin olive oil', 'positive']], 'aspect_category': [[None, 'positive'], [None, 'positive'], [None, 'positive'], [None, 'positive']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |
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generation | semeval-2014 | [
"We were still sitting at the bar while we drank the sangria, but facing away from the bar when we turned back around, the $2 was gone the people next to us said the bartender took it."
] | {'aspect_term': [['sangria', 'neutral'], ['bar', 'neutral'], ['bar', 'neutral'], ['bartender', 'negative']], 'aspect_category': [[None, 'neutral'], [None, 'neutral'], [None, 'neutral'], [None, 'negative']]} | none | Task: Extracting aspect terms , their aspect categories and their corresponding sentiment polarities in a dict. Input: A sentence. Output: a dict with keys: aspect_term and aspect_category , separate extraction a list of 2-tuples(aspect term , its corresponding sentiment polarity) and a list of 2-tuples(aspect category, its corresponding sentiment polarity). Supplement: "Null" means that there is no occurrence in the sentence. Example: Input: "The Pad Thai is excellent here, as well." Output: {'aspect_term': [['Pad Thai', 'positive']], 'aspect_category': [[None, 'positive']]} |