{"id":"https://openalex.org/W2896555051","doi":"https://doi.org/10.18653/v1/p18-1043","title":"Event2Mind: Commonsense Inference on Events, Intents, and Reactions","display_name":"Event2Mind: Commonsense Inference on Events, Intents, and Reactions","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2896555051","doi":"https://doi.org/10.18653/v1/p18-1043","mag":"2896555051"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-1043","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1043","pdf_url":"https://www.aclweb.org/anthology/P18-1043.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-1043.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076412680","display_name":"Hannah Rashkin","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hannah Rashkin","raw_affiliation_strings":["University of Washington ;"],"affiliations":[{"raw_affiliation_string":"University of Washington ;","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015128745","display_name":"Maarten Sap","orcid":"https://orcid.org/0000-0002-0701-4654"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maarten Sap","raw_affiliation_strings":["University of Washington ;"],"affiliations":[{"raw_affiliation_string":"University of Washington ;","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008920438","display_name":"Emily Allaway","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emily Allaway","raw_affiliation_strings":["University of Washington ;"],"affiliations":[{"raw_affiliation_string":"University of Washington ;","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088517824","display_name":"Noah A. Smith","orcid":"https://orcid.org/0000-0002-2310-6380"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noah A. Smith","raw_affiliation_strings":["University of Washington ;"],"affiliations":[{"raw_affiliation_string":"University of Washington ;","institution_ids":["https://openalex.org/I201448701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102992157","display_name":"Yejin Choi","orcid":"https://orcid.org/0000-0003-3032-5378"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]},{"id":"https://openalex.org/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yejin Choi","raw_affiliation_strings":["Allen Institute for Artificial Intelligence","University of Washington ;"],"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I4210156221"]},{"raw_affiliation_string":"University of Washington ;","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076412680"],"corresponding_institution_ids":["https://openalex.org/I201448701"],"apc_list":null,"apc_paid":null,"fwci":4.0617,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.9507834,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"463","last_page":"473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9962999820709229,"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":0.9962999820709229,"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":0.9947999715805054,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9940000176429749,"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/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.7166638374328613},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7108727693557739},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6810170412063599},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.63840651512146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5887459516525269},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.5135791301727295},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4914497137069702},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.45544174313545227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45046138763427734},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.39903178811073303},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3843737840652466},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.07747256755828857}],"concepts":[{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.7166638374328613},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7108727693557739},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6810170412063599},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.63840651512146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5887459516525269},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.5135791301727295},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4914497137069702},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.45544174313545227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45046138763427734},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.39903178811073303},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3843737840652466},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.07747256755828857},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.18653/v1/p18-1043","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1043","pdf_url":"https://www.aclweb.org/anthology/P18-1043.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1805.06939","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.06939","pdf_url":"https://arxiv.org/pdf/1805.06939","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":"","raw_type":"text"},{"id":"mag:2896555051","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1805.06939","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":"pmh:oai:pure.ed.ac.uk:openaire/add31a8d-44f6-4a6a-bf5d-2d6fa7d1a69c","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/add31a8d-44f6-4a6a-bf5d-2d6fa7d1a69c","pdf_url":null,"source":{"id":"https://openalex.org/S4306400321","display_name":"Edinburgh Research Explorer (University of Edinburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98677209","host_organization_name":"University of Edinburgh","host_organization_lineage":["https://openalex.org/I98677209"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Rashkin, H, Sap, M, Allaway, E, Smith, N A & Choi, Y 2018, Event2Mind : Commonsense inference on events, intents, and reactions. in I Gurevych & Y Miyao (eds), Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics. Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 463\u2013473, 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Victoria, Australia, 15/07/18. https://doi.org/10.18653/v1/P18-1043","raw_type":"contributionToPeriodical"},{"id":"doi:10.48550/arxiv.1805.06939","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1805.06939","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":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-1043","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1043","pdf_url":"https://www.aclweb.org/anthology/P18-1043.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Gender equality","score":0.699999988079071,"id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G2099617666","display_name":null,"funder_award_id":"1256082","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3943856530","display_name":null,"funder_award_id":"DGE-1256082","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5385673730","display_name":null,"funder_award_id":"W911NF-15-1-","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G5524522455","display_name":null,"funder_award_id":"DARPA","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G5551313627","display_name":"RI: Small: ConnotationNet: Modeling Non-Literal Meaning in Context","funder_award_id":"1714566","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6894402473","display_name":null,"funder_award_id":"Fellowship","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7452299184","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8998121839","display_name":null,"funder_award_id":"911NF","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310094","display_name":"University of Washington","ror":"https://ror.org/00cvxb145"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2896555051.pdf","grobid_xml":"https://content.openalex.org/works/W2896555051.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W147145573","https://openalex.org/W1525578932","https://openalex.org/W1541755157","https://openalex.org/W1614298861","https://openalex.org/W1814992895","https://openalex.org/W1819170319","https://openalex.org/W1832693441","https://openalex.org/W1840435438","https://openalex.org/W1968192917","https://openalex.org/W1972195125","https://openalex.org/W1986654244","https://openalex.org/W2051398498","https://openalex.org/W2097606805","https://openalex.org/W2099469780","https://openalex.org/W2105834893","https://openalex.org/W2112796928","https://openalex.org/W2115792525","https://openalex.org/W2116512345","https://openalex.org/W2121044470","https://openalex.org/W2140910804","https://openalex.org/W2147638277","https://openalex.org/W2157491892","https://openalex.org/W2161431802","https://openalex.org/W2180093461","https://openalex.org/W2250770256","https://openalex.org/W2250837944","https://openalex.org/W2251882135","https://openalex.org/W2251890715","https://openalex.org/W2252085230","https://openalex.org/W2295759824","https://openalex.org/W2466175319","https://openalex.org/W2509019445","https://openalex.org/W2525127255","https://openalex.org/W2530157984","https://openalex.org/W2548036585","https://openalex.org/W2567181374","https://openalex.org/W2740470375","https://openalex.org/W2758009921","https://openalex.org/W2761934926","https://openalex.org/W2789170002","https://openalex.org/W2790100769","https://openalex.org/W2885186651","https://openalex.org/W2963069209","https://openalex.org/W2963223306","https://openalex.org/W2963711448","https://openalex.org/W2964053384","https://openalex.org/W2964199361","https://openalex.org/W2964225806"],"related_works":["https://openalex.org/W2962781380","https://openalex.org/W2963341956","https://openalex.org/W2886424491","https://openalex.org/W2250539671","https://openalex.org/W2963101081","https://openalex.org/W2965373594","https://openalex.org/W2964207259","https://openalex.org/W3018414190","https://openalex.org/W3097683561","https://openalex.org/W1750954409","https://openalex.org/W2795354263","https://openalex.org/W3012155113","https://openalex.org/W3201042576","https://openalex.org/W3197499505","https://openalex.org/W2402954262","https://openalex.org/W2970116058","https://openalex.org/W3172193548","https://openalex.org/W3092874305","https://openalex.org/W2196779496","https://openalex.org/W2250680464"],"abstract_inverted_index":{"We":[0,66],"investigate":[1],"a":[2,12,22,49,58],"new":[3,50],"commonsense":[4,104],"inference":[5,105],"task:":[6],"given":[7],"an":[8],"event":[9,55,97],"described":[10],"in":[11,19,119],"short":[13],"free-form":[14],"text":[15],"(\"X":[16,29,36],"drinks":[17],"coffee":[18],"the":[20,26,40,90,96,114],"morning\"),":[21],"system":[23],"reasons":[24],"about":[25,89],"likely":[27,91],"intents":[28,92,108],"wants":[30],"to":[31],"stay":[32],"awake\")":[33],"and":[34,64,87,93,109],"reactions":[35,94,110],"feels":[37],"alert\")":[38],"of":[39,53,61,83,95],"event's":[41],"participants.":[42,98],"To":[43],"support":[44],"this":[45,71],"study,":[46],"we":[47,101],"construct":[48],"crowdsourced":[51],"corpus":[52],"25,000":[54],"phrases":[56],"covering":[57],"diverse":[59],"range":[60],"everyday":[62],"events":[63,86],"situations.":[65],"report":[67],"baseline":[68],"performance":[69],"on":[70,106],"task,":[72],"demonstrating":[73],"that":[74],"neural":[75],"encoder-decoder":[76],"models":[77],"can":[78,111],"successfully":[79],"compose":[80],"embedding":[81],"representations":[82],"previously":[84],"unseen":[85],"reason":[88],"In":[99],"addition,":[100],"demonstrate":[102],"how":[103],"people's":[107],"help":[112],"unveil":[113],"implicit":[115],"gender":[116],"inequality":[117],"prevalent":[118],"modern":[120],"movie":[121],"scripts.":[122]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}