{"id":"https://openalex.org/W2737504179","doi":"https://doi.org/10.18653/v1/w17-5301","title":"The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations","display_name":"The RepEval 2017 Shared Task: Multi-Genre Natural Language Inference with Sentence Representations","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2737504179","doi":"https://doi.org/10.18653/v1/w17-5301","mag":"2737504179"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-5301","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5301","pdf_url":"https://www.aclweb.org/anthology/W17-5301.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-5301.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013626682","display_name":"Nikita Nangia","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nikita Nangia","raw_affiliation_strings":["Center for Data Science New York University","New York University, New York, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Data Science New York University","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"New York University, New York, United States","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062696000","display_name":"Adina Williams","orcid":"https://orcid.org/0000-0001-5281-3343"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adina Williams","raw_affiliation_strings":["Department of Linguistics New York University","New York University, New York, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Linguistics New York University","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"New York University, New York, United States","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042659302","display_name":"Angeliki Lazaridou","orcid":"https://orcid.org/0000-0002-5857-474X"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Angeliki Lazaridou","raw_affiliation_strings":["University of Trento, Trento, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112713734","display_name":"Samuel R. Bowman","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samuel Bowman","raw_affiliation_strings":["Center for Data Science New York University","Department of Linguistics New York University","New York University, New York, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Data Science New York University","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"Department of Linguistics New York University","institution_ids":["https://openalex.org/I57206974"]},{"raw_affiliation_string":"New York University, New York, United States","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13629","display_name":"Text Readability and Simplification","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7429802417755127},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.7180019617080688},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7034772634506226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6377500295639038},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6246005892753601},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5729115605354309},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5631841421127319},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4916899800300598},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4792056977748871},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.41337794065475464},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3829731345176697},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15646061301231384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429802417755127},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7180019617080688},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7034772634506226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6377500295639038},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6246005892753601},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5729115605354309},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5631841421127319},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4916899800300598},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4792056977748871},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.41337794065475464},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3829731345176697},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15646061301231384},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/w17-5301","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5301","pdf_url":"https://www.aclweb.org/anthology/W17-5301.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1707.08172","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1707.08172","pdf_url":"https://arxiv.org/pdf/1707.08172","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2737504179","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1707.08172.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1707.08172","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1707.08172","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-5301","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-5301","pdf_url":"https://www.aclweb.org/anthology/W17-5301.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd Workshop on Evaluating Vector Space Representations for NLP","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316083","display_name":"Tencent","ror":"https://ror.org/00hhjss72"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2737504179.pdf","grobid_xml":"https://content.openalex.org/works/W2737504179.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1938755728","https://openalex.org/W2228826686","https://openalex.org/W2250539671","https://openalex.org/W2525127255","https://openalex.org/W2607892599","https://openalex.org/W2608787653","https://openalex.org/W2742774967","https://openalex.org/W2743087755","https://openalex.org/W2756863694","https://openalex.org/W2895384029","https://openalex.org/W2953084091","https://openalex.org/W2962911355","https://openalex.org/W2963542836","https://openalex.org/W2963918774","https://openalex.org/W2964029791"],"related_works":["https://openalex.org/W2953084091","https://openalex.org/W2607892599","https://openalex.org/W2963918774","https://openalex.org/W2250539671","https://openalex.org/W1522301498","https://openalex.org/W2807812142","https://openalex.org/W2964308564","https://openalex.org/W2251869843","https://openalex.org/W2963644595","https://openalex.org/W2952750383","https://openalex.org/W3005282503","https://openalex.org/W2786212628","https://openalex.org/W3166523559","https://openalex.org/W3046408554","https://openalex.org/W2607106700","https://openalex.org/W3111024045","https://openalex.org/W3005875885","https://openalex.org/W3096299031","https://openalex.org/W55898767","https://openalex.org/W2970618241"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"the":[3,6,20,36,41,75,80,83,89,99,112],"results":[4,81],"of":[5,35,48,82,98,105,111],"RepEval":[7],"2017":[8],"Shared":[9],"Task,":[10],"which":[11],"evaluated":[12],"neural":[13],"network":[14],"sentence":[15,68,120],"representation":[16],"learning":[17],"models":[18],"on":[19,74],"Multi-Genre":[21],"Natural":[22],"Language":[23],"Inference":[24],"corpus":[25],"(MultiNLI)":[26],"recently":[27],"introduced":[28],"by":[29],"Williams":[30,53],"et":[31,54],"al.":[32],"(2017).":[33],"All":[34],"five":[37],"participating":[38],"teams":[39],"beat":[40],"bidirectional":[42],"LSTM":[43],"(BiLSTM)":[44],"and":[45,70,91,95],"continuous":[46],"bag":[47],"words":[49],"baselines":[50],"reported":[51],"in":[52],"al..":[55],"The":[56],"best":[57],"single":[58],"model":[59],"used":[60],"stacked":[61],"BiLSTMs":[62],"with":[63],"residual":[64],"connections":[65],"to":[66],"extract":[67],"features":[69],"reached":[71],"74.5%":[72],"accuracy":[73],"genre-matched":[76],"test":[77,93,100],"set.":[78],"Surprisingly,":[79],"competition":[84],"were":[85],"fairly":[86],"consistent":[87],"across":[88,96],"genrematched":[90],"genre-mismatched":[92],"sets,":[94],"subsets":[97],"data":[101],"representing":[102],"a":[103],"variety":[104],"linguistic":[106],"phenomena,":[107],"suggesting":[108],"that":[109],"all":[110],"submitted":[113],"systems":[114],"learned":[115],"reasonably":[116],"domainindependent":[117],"representations":[118],"for":[119],"meaning.":[121]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}