task_type
stringclasses 1
value | dataset
stringclasses 1
value | input
sequence | output
sequence | situation
stringclasses 1
value | label
stringclasses 1
value | extra
stringclasses 1
value | instruction
stringclasses 1
value |
---|---|---|---|---|---|---|---|
generation | arts | [
"After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"After waiting for almost an hour, the waiter not brusquely told us he'd forgotten to give the kitchen our order."
] | [
"waiter",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order, but service is great, service is prompt and food is good."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order, but prices is good."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order."
] | [
"kitchen",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"After waiting for almost an hour, the waiter brusquely told us he'd forgotten to give the kitchen our order, but waiters is helpful and desserts is excellent."
] | [
"kitchen",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably rude waiter."
] | [
"meal",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably rude waiter, but bi-level space is gorgeous, service is good and food is outstanding."
] | [
"meal",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably rude waiter."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably polite waiter."
] | [
"waiter",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I asked repeatedly what the status of the meal was and was pretty much grunted at by the unbelievably rude waiter, but desserts is free and coffee is outstanding."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"This place has the best Indian food in New York, hands down."
] | [
"Indian 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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"This place has the worst Indian food in New York, hands down."
] | [
"Indian 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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"This place has the best Indian food in New York, hands down, but waiters is bad and location is convenient."
] | [
"Indian 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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The waiters are very friendly and helpful and if you frequent they will remember you."
] | [
"waiters",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The waiters are very hostile and unhelpful and if you frequent they will not remember you."
] | [
"waiters",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The waiters are very friendly and helpful and if you frequent they will remember you, but priced is high, sauce is not very flavorful and service is slow."
] | [
"waiters",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The food is also outstanding and is served quite quickly."
] | [
"served",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The food is also outstanding but is served quite slowly."
] | [
"served",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The food is also not outstanding but is served quite quickly."
] | [
"served",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The food is also outstanding and is served quite quickly, but hot dogs is worst and staff is arrogant."
] | [
"served",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The food is also outstanding and is served quite quickly."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The food is also not outstanding but is served quite quickly."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The food is also outstanding but is served quite slowly."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The food is also outstanding and is served quite quickly, but ground chickpea soup is thin, taste is worst and folding chair is uncomfortable."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"My husband and I have been there at least 6 times and we've always been given the highest service and often free desserts."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"My husband and I have been there at least 6 times and but we've always been given terrible service, and often free desserts."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"My husband and I have been there at least 6 times but we've always been given the highest service and often freeze desserts."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"My husband and I have been there at least 6 times and we've always been given the highest service and often free desserts, but bill is big and staff is bad."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"My husband and I have been there at least 6 times and we've always been given the highest service and often free desserts."
] | [
"desserts",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"My husband and I have been there at least 6 times and we've always been given the highest service but ofter refuse desserts."
] | [
"desserts",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"My husband and I have been there at least 6 times and we've always been given the not highest service but often free desserts."
] | [
"desserts",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"My husband and I have been there at least 6 times and we've always been given the highest service and often free desserts, but service is disappointed."
] | [
"desserts",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"If you're looking to taste some great Indian food and want good service, definitely visit Curry Leaf."
] | [
"Indian 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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"If you're looking to taste some not great Indian food and want good service, definitely visit Curry Leaf."
] | [
"Indian 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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"If you're looking to taste some great Indian food and want bad service, definitely visit Curry Leaf."
] | [
"Indian 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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"If you're looking to taste some great Indian food and want good service, definitely visit Curry Leaf, but taste is short and room is plain."
] | [
"Indian 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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"If you're looking to taste some great Indian food and want good service, definitely visit Curry Leaf."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"If you're looking to taste some great Indian food but want bad service, definitely visit Curry Leaf."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"If you're looking to taste some not great Indian food but want good service, definitely visit Curry Leaf."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"If you're looking to taste some great Indian food and want good service, definitely visit Curry Leaf, but manager is a graceless and bartenders is horrible."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"El Nidos one of the best restaurants in New York which I've ever been to, has a great variety of tasty, mouth watering pizza's."
] | [
"pizza's",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"El Nidos one of the best restaurants in New York which I've ever been to, has a terrible variety of flavorless, unappetizing pizza's."
] | [
"pizza's",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"El Nidos one of the best restaurants in New York which I've ever been to, has a great variety of tasty, mouth watering pizza's, but cake is average, sushi is bigger and hot dogs is worst."
] | [
"pizza's",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The pizza's are made fresh, crispy, and ready to serve."
] | [
"pizza's",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The pizza's are made stale, not crispy, and not ready to serve."
] | [
"pizza's",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The pizza's are made fresh, crispy, and ready to serve, but hostess is rude, ac is a lack and clientele is loud-mouthed."
] | [
"pizza's",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The service we experienced was friendly and good."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The service we experienced was unfriendly and bad."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"The service we experienced was friendly and good, but bartender is rude and host is rude."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money."
] | [
"salads",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all stale, tasteless but the mango margareta at $ 9 was WELL WORTH the money."
] | [
"salads",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers but salads were all fresh, tasty and the mango margareta at $ 9 was not WELL WORTH the money."
] | [
"salads",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money, but waiters is bad, bartender is rude and wait staff is inconsiderate."
] | [
"salads",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money."
] | [
"mango margareta",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all fresh, tasty but the mango margareta at $ 9 was not WELL WORTH the money."
] | [
"mango margareta",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all not fresh, tasteless but the mango margareta at $ 9 was WELL WORTH the money."
] | [
"mango margareta",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money, but bar service is slow and lunch is a power."
] | [
"mango margareta",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money."
] | [
"wraps",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all not fresh, tasteless and the mango margareta at $ 9 was WELL WORTH the money."
] | [
"wraps",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers but salads were all fresh, tasty and the mango margareta at $ 9 was not WELL WORTH the money."
] | [
"wraps",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money, but curried casseroles is harsh and room is plain."
] | [
"wraps",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money."
] | [
"burgers",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all not fresh, tasteless and the mango margareta at $ 9 was WELL WORTH the money."
] | [
"burgers",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all fresh, tasty but the mango margareta at $ 9 was not WELL WORTH the money."
] | [
"burgers",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"I can say that the wraps, burgers and salads were all fresh, tasty and the mango margareta at $9 was WELL WORTH the money, but service is rude, slices is expensive and food is disappointed."
] | [
"burgers",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"now called nikki sushi, sushi is OK."
] | [
"sushi",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"now called nikki sushi, sushi is not OK."
] | [
"sushi",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"now called nikki sushi, sushi is OK, but appetizers is not expensive, wine list is disappointing and place is good."
] | [
"sushi",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"new hamburger with special sauce is ok - at least better than big mac!"
] | [
"new hamburger with special sauce",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"new hamburger with special sauce is not ok-at least better than big mac!"
] | [
"new hamburger with special sauce",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"new hamburger with special sauce is ok-at least really better than big mac!"
] | [
"new hamburger with special sauce",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"new hamburger with special sauce is ok - at least better than big mac, but fortune cookies is a complaint and dining experience is worst."
] | [
"new hamburger with special sauce",
"positive"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"new hamburger with special sauce is ok - at least better than big mac!"
] | [
"big mac",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"new hamburger with special sauce is ok-at least not better than big mac!"
] | [
"big mac",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"new hamburger with special sauce is absolutely ok-at least better than big mac!"
] | [
"big mac",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"new hamburger with special sauce is ok - at least better than big mac, but recipes is tried-and-true, vegan options is many and food is great."
] | [
"big mac",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."
] | [
"non-sushi selection",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes free appetizers (nasty non-sushi selection)."
] | [
"non-sushi selection",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not extremely not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."
] | [
"non-sushi selection",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection); hostess is rude, bill is big and manager is a rudeness."
] | [
"non-sushi selection",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes blame appetizers (nice non-sushi selection)."
] | [
"appetizers",
"negative"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not incredibly not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection); waiter is a rudeness."
] | [
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."
] | [
"cocktail hour",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection); taste is short and fortune cookies is a complaint."
] | [
"cocktail hour",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection)."
] | [
"filet mignon",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was very good at all cocktail hour includes free appetizers (nice non-sushi selection)."
] | [
"filet mignon",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes fully free appetizers (incredibly nice non-sushi selection)."
] | [
"filet mignon",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"but, the filet mignon was not very good at all cocktail hour includes free appetizers (nice non-sushi selection); food is outstanding."
] | [
"filet mignon",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"IT WAS OUR ONLY OPPORTUNITY TO VISIT AND WANTED AN AUTHENTIC ITALIAN MEAL."
] | [
"ITALIAN MEAL",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"IT WAS OUR ONLY OPPORTUNITY TO VISIT BUT WANTED A NOT AUTHENTIC ITALIAN MEAL."
] | [
"ITALIAN MEAL",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"IT WAS OUR ONLY OPPORTUNITY TO VISIT AND WANTED AN AUTHENTIC ITALIAN MEAL, but hamburger is tasty."
] | [
"ITALIAN MEAL",
"neutral"
] | none | Task: Extracting aspect terms and their corresponding sentiment polarities. Input: A sentence. Output: A list of 2-tuples, where each tuple contains the extracted aspect term, and its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"THEY HAVE WAITERS ON THE SIDEWALK TRYING TO PULL YOU IN WHICH MADE US SUSPICIOUS."
] | [
"WAITERS",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"THEY HAVE WAITERS ON THE SIDEWALK TRYING TO PULL YOU IN WHICH MADE US SUSPICIOUS, but saketini is wonderful and people is worst."
] | [
"WAITERS",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"THE LASAGNA WAS PROBABLY THE BEST I HAVE TASTED."
] | [
"LASAGNA",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"THE LASAGNA WAS PROBABLY THE BADLY I HAVE TASTED."
] | [
"LASAGNA",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |
||
generation | arts | [
"THE LASAGNA WAS PROBABLY THE BEST I HAVE TASTED, but meal is terrible, chicken is dark and host is rude."
] | [
"LASAGNA",
"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 its sentiment polarity. Supplement: "Null" means that there is no occurrence in the sentence. Example: Sentence: "3D rendering not slows it down considerably." Output: ["3D rendering", "negative"] |