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Roman Atwood . He is best known for his vlogs , where he posts updates about his life on a daily basis . His vlogging channel , `` RomanAtwoodVlogs '' , has a total of 3.3 billion views and 11.9 million subscribers . He also has another YouTube channel called `` RomanAtwood '' , where he posts pranks .
Roman Atwood is a content creator.
ENTAILMENT
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33078
Boston Celtics . The Celtics play their home games at the TD Garden , which they share with the National Hockey League ( NHL ) 's Boston Bruins .
The Boston Celtics play their home games at TD Garden.
ENTAILMENT
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76253
The Hunger Games is a 2012 American dystopian science fiction adventure film directed by Gary Ross and based on the novel of the same name by Suzanne Collins . The film stars Jennifer Lawrence , Josh Hutcherson , Liam Hemsworth , Woody Harrelson , Elizabeth Banks , Lenny Kravitz , Stanley Tucci , and Donald Sutherland .
There is a movie called The Hunger Games.
ENTAILMENT
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Ryan John Seacrest ( born December 24 , 1974 ) is an American radio personality , television host and producer . Seacrest began co-hosting Live with Kelly and Ryan on a permanent basis May 1 , 2017 . He received Emmy Award nominations for American Idol , and won an Emmy for producing Jamie Oliver 's Food Revolution .
Ryan Seacrest is a person.
ENTAILMENT
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207456
Stranger than Fiction is a 2006 American fantasy comedy-drama film directed by Marc Forster , produced by Lindsay Doran , and written by Zach Helm .
Stranger than Fiction is a film.
ENTAILMENT
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93956
Selena Quintanilla-Pérez ( [ seˈlena kintaˈniʝa ˈpeɾes ] or [ seˈlena kintaˈniʎa ˈpeɾeθ ] April 16 , 1971 -- March 31 , 1995 ) was an American singer , songwriter , spokesperson , model , actress , and fashion designer . ( 1993 ) won Best Mexican/American Album at the 1994 Grammy Awards , becoming the first recording by a Tejano artist to do so . In 1994 , Selena released Amor Prohibido , which became one of the best-selling Latin albums in the United States . Her posthumous crossover album , Dreaming of You ( 1995 ) , debuted atop the Billboard 200 , making Selena the first Latin artist to accomplish this feat .
Selena recorded music.
ENTAILMENT
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93956
Selena Quintanilla-Pérez ( [ seˈlena kintaˈniʝa ˈpeɾes ] or [ seˈlena kintaˈniʎa ˈpeɾeθ ] April 16 , 1971 -- March 31 , 1995 ) was an American singer , songwriter , spokesperson , model , actress , and fashion designer . However , her popularity grew after she won the Tejano Music Award for Female Vocalist of the Year in 1987 , which she won nine consecutive times .
Selena recorded music.
ENTAILMENT
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93956
Selena Quintanilla-Pérez ( [ seˈlena kintaˈniʝa ˈpeɾes ] or [ seˈlena kintaˈniʎa ˈpeɾeθ ] April 16 , 1971 -- March 31 , 1995 ) was an American singer , songwriter , spokesperson , model , actress , and fashion designer .
Selena recorded music.
ENTAILMENT
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93956
Selena . Selena signed with EMI Latin in 1989 and released her self-titled debut album the same year , while her brother became her principal music producer and songwriter . One of its singles , `` Como La Flor '' , became one of her most popular signature songs . ( 1993 ) won Best Mexican/American Album at the 1994 Grammy Awards , becoming the first recording by a Tejano artist to do so . In 1994 , Selena released Amor Prohibido , which became one of the best-selling Latin albums in the United States . Her posthumous crossover album , Dreaming of You ( 1995 ) , debuted atop the Billboard 200 , making Selena the first Latin artist to accomplish this feat .
Selena recorded music.
ENTAILMENT
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138117
John Wick: Chapter 2 . The film premiered in Los Angeles on January 30 , 2017 , and was theatrically released in the United States on February 10 , 2017 .
John Wick: Chapter 2 was theatrically released in the Oregon.
NEUTRAL
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210010
Afghanistan . The land also served as the source from which the Kushans , Hephthalites , Samanids , Saffarids , Ghaznavids , Ghorids , Khiljis , Mughals , Hotaks , Durranis , and others have risen to form major empires .
Afghanistan is the source of the Kushan dynasty.
NEUTRAL
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214706
Tupac Amaru Shakur ( [ ˈtuːpɑːk_ʃəˈkʊər ] ; born Lesane Parish Crooks ; June 16 , 1971September 13 , 1996 ) , also known by his stage names 2Pac , Makaveli , and Pac , was an American rapper , record producer , actor , and poet .
Tupac Shakur was born Lesane Parish Crooks.
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65960
Whoopi Goldberg . From 1998 to 2002 , she was co-producer of the television game show Hollywood Squares .
Whoopi Goldberg co-produced an American dance tournament.
NEUTRAL
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180769
Grace Jones ( born 19 May 1948 ) is a Jamaican born singer , songwriter , lyricist , supermodel , record producer , and actress .
Grace Jones is a dancer.
CONTRADICTION
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170685
Lisbon ( [ ˈlɪzbən ] Lisboa , [ liʒˈβoɐ ] ) is the capital and the largest city of Portugal , with a population of 552,700 within its administrative limits in an area of 100.05 km ² .
Lisbon has a population larger than 1.
ENTAILMENT
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77712
Newfoundland and Labrador . The province is Canada 's most linguistically homogeneous , with 97.6 % of residents reporting English ( Newfoundland English ) as their mother tongue in the 2006 census .
Newfoundland and Labrador is the most linguistically homogeneous of Canada.
ENTAILMENT
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91253
Sophie Turner ( born 21 February 1996 ) is an English actress . Sophie Turner ( born 30 April 1984 ) is an Australian model , reality television personality and lawyer who first came to prominence as a contestant on the Australian television series Search for a Supermodel .
Sophie Turner was born in the 1990s.
ENTAILMENT
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{ "premise": { "tokens": [ { "index": 0, "rawText": "Sophie" }, { "index": 1, "rawText": "Turner" }, { "index": 2, "rawText": "(" }, { "index": 3, "rawText": "born" }, { "index": 4, "rawText": "21" }, { "index": 5, "rawText": "February" }, { "index": 6, "rawText": "1996" }, { "index": 7, "rawText": ")" }, { "index": 8, "rawText": "is" }, { "index": 9, "rawText": "an" }, { "index": 10, "rawText": "English" }, { "index": 11, "rawText": "actress" }, { "index": 12, "rawText": "." }, { "index": 13, "rawText": "Sophie" }, { "index": 14, "rawText": "Turner" }, { "index": 15, "rawText": "(" }, { "index": 16, "rawText": "born" }, { "index": 17, "rawText": "30" }, { "index": 18, "rawText": "April" }, { "index": 19, "rawText": "1984" }, { "index": 20, "rawText": ")" }, { "index": 21, "rawText": "is" }, { "index": 22, "rawText": "an" }, { "index": 23, "rawText": "Australian" }, { "index": 24, "rawText": "model" }, { "index": 25, "rawText": "," }, { "index": 26, "rawText": "reality" }, { "index": 27, "rawText": "television" }, { "index": 28, "rawText": "personality" }, { "index": 29, "rawText": "and" }, { "index": 30, "rawText": "lawyer" }, { "index": 31, "rawText": "who" }, { "index": 32, "rawText": "first" }, { "index": 33, "rawText": "came" }, { "index": 34, "rawText": "to" }, { "index": 35, "rawText": "prominence" }, { "index": 36, "rawText": "as" }, { "index": 37, "rawText": "a" }, { "index": 38, "rawText": "contestant" }, { "index": 39, "rawText": "on" }, { "index": 40, "rawText": "the" }, { "index": 41, "rawText": "Australian" }, { "index": 42, "rawText": "television" }, { "index": 43, "rawText": "series" }, { "index": 44, "rawText": "Search" }, { "index": 45, "rawText": "for" }, { "index": 46, "rawText": "a" }, { "index": 47, "rawText": "Supermodel" }, { "index": 48, "rawText": "." } ], "annotations": [ { "tokenIndex": 3, "verbatlas": { "frameName": "GIVE-BIRTH", "roles": [ { "role": "Patient", "score": 1, "span": [ 0, 2 ] }, { "role": "Time", "score": 1, "span": [ 4, 7 ] } ] }, "englishPropbank": { "frameName": "bear.02", "roles": [ { "role": "ARG1", "score": 1, "span": [ 0, 2 ] }, { "role": "ARGM-TMP", "score": 1, "span": [ 4, 7 ] } ] } }, { "tokenIndex": 8, "verbatlas": { "frameName": "COPULA", "roles": [ { "role": "Theme", "score": 1, "span": [ 0, 8 ] }, { "role": "Attribute", "score": 1, "span": [ 9, 12 ] } ] }, "englishPropbank": { "frameName": "be.01", "roles": [ { "role": "ARG1", "score": 1, "span": [ 0, 8 ] }, { "role": "ARG2", "score": 1, "span": [ 9, 12 ] } ] } }, { "tokenIndex": 16, "verbatlas": { "frameName": "GIVE-BIRTH", "roles": [ { "role": "Patient", "score": 1, "span": [ 13, 15 ] }, { "role": "Time", "score": 1, "span": [ 17, 20 ] } ] }, "englishPropbank": { "frameName": "bear.02", "roles": [ { "role": "ARG1", "score": 1, "span": [ 13, 15 ] }, { "role": "ARGM-TMP", "score": 1, "span": [ 17, 20 ] } ] } }, { "tokenIndex": 21, "verbatlas": { "frameName": "COPULA", "roles": [ { "role": "Theme", "score": 1, "span": [ 13, 21 ] }, { "role": "Attribute", "score": 1, "span": [ 22, 48 ] } ] }, "englishPropbank": { "frameName": "be.01", "roles": [ { "role": "ARG1", "score": 1, "span": [ 13, 21 ] }, { "role": "ARG2", "score": 1, "span": [ 22, 48 ] } ] } }, { "tokenIndex": 33, "verbatlas": { "frameName": "RESULT_CONSEQUENCE", "roles": [ { "role": "Agent", "score": 1, "span": [ 22, 31 ] }, { "role": "Time", "score": 1, "span": [ 32, 33 ] }, { "role": "Goal", "score": 1, "span": [ 34, 36 ] }, { "role": "Attribute", "score": 1, "span": [ 36, 48 ] } ] }, "englishPropbank": { "frameName": "come.04", "roles": [ { "role": "ARG1", "score": 1, "span": [ 22, 31 ] }, { "role": "R-ARG1", "score": 1, "span": [ 31, 32 ] }, { "role": "ARGM-TMP", "score": 1, "span": [ 32, 33 ] }, { "role": "ARG2", "score": 1, "span": [ 34, 36 ] }, { "role": "ARGM-MNR", "score": 1, "span": [ 36, 48 ] } ] } } ] }, "hypothesis": { "tokens": [ { "index": 0, "rawText": "Sophie" }, { "index": 1, "rawText": "Turner" }, { "index": 2, "rawText": "was" }, { "index": 3, "rawText": "born" }, { "index": 4, "rawText": "in" }, { "index": 5, "rawText": "the" }, { "index": 6, "rawText": "1990s" }, { "index": 7, "rawText": "." } ], "annotations": [ { "tokenIndex": 3, "verbatlas": { "frameName": "GIVE-BIRTH", "roles": [ { "role": "Patient", "score": 1, "span": [ 0, 2 ] }, { "role": "Time", "score": 1, "span": [ 4, 7 ] } ] }, "englishPropbank": { "frameName": "bear.02", "roles": [ { "role": "ARG1", "score": 1, "span": [ 0, 2 ] }, { "role": "ARGM-TMP", "score": 1, "span": [ 4, 7 ] } ] } } ] } }

Semantically-augmented FEVER for NLI

This dataset is a random downsample of the FEVER dataset adapted for NLI. We downsampled the training and development set to 25% of the original, and recovered labels for the development set from the original FEVER dataset.

The dataset is also augmented with semantic annotations such as Word Sense Disambiguation (WSD) and Semantic Role Labeling (SRL) information. We annotated the whole downsampled dataset (both premise and hypothesis) with AMuSE-WSD (Orlando et al., EMNLP 2021) and InVeRo (Conia et al., EMNLP 2020).

Dataset Creation

The idea was to curate a version of the FEVER dataset adapted to the NLI task for Homework 2 of the Multilingual Natural Language Processing 2024 course at Sapienza University of Rome.

We sourced the data following the instructions in this repo, modifying the labels to the following schema:

{
  "id": ..., # the FEVER dataset ID
  "premise": ..., # the context in FEVER
  "hypothesis": ..., # the query in FEVER
  "label": ..., # mapped version of FEVER, where 'supports' -> 'entailment', 'refutes' -> 'contradiction' and 'not enough info' -> 'neutral'
}

We filtered out any sample with an empty premise (a minority of the data) and downsampled both train_fitems.jsonl and dev_fitems.jsonl to 25% of their total size. We then recovered the labels for the development set from the labelled_dev split in the original FEVER and split the development set into the final dev.jsonl and test.jsonl.

Finally, we ran both AMuSE-WSD and InVeRo to augment our samples with WSD and SRL annotations, respectively.

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