{"id":"https://openalex.org/W2798589784","doi":"https://doi.org/10.18653/v1/p18-1213","title":"Modeling Naive Psychology of Characters in Simple Commonsense Stories","display_name":"Modeling Naive Psychology of Characters in Simple Commonsense Stories","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798589784","doi":"https://doi.org/10.18653/v1/p18-1213","mag":"2798589784"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-1213","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1213","pdf_url":"https://www.aclweb.org/anthology/P18-1213.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/P18-1213.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/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"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, Seattle, United States"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, United States","institution_ids":["https://openalex.org/I58610484","https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088410008","display_name":"Antoine Bosselut","orcid":"https://orcid.org/0000-0001-8968-9649"},"institutions":[{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"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":"Antoine Bosselut","raw_affiliation_strings":["University of Washington, Seattle, United States"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, United States","institution_ids":["https://openalex.org/I58610484","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"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maarten Sap","raw_affiliation_strings":["University of Washington, Seattle, United States"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, United States","institution_ids":["https://openalex.org/I58610484","https://openalex.org/I201448701"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106821597","display_name":"Kevin Knight","orcid":"https://orcid.org/0000-0001-9117-1718"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Knight","raw_affiliation_strings":["Information Sciences Institute & Computer Science, University of Southern California","University of Southern California, Los Angeles, United States"],"affiliations":[{"raw_affiliation_string":"Information Sciences Institute & Computer Science, University of Southern California","institution_ids":["https://openalex.org/I1174212"]},{"raw_affiliation_string":"University of Southern California, Los Angeles, United States","institution_ids":["https://openalex.org/I1174212"]}]},{"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/I4210156221","display_name":"Allen Institute for Artificial Intelligence","ror":"https://ror.org/05w520734","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156221"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]},{"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":"Yejin Choi","raw_affiliation_strings":["Allen Institute for Artificial Intelligence","University of Washington, Seattle, United States"],"affiliations":[{"raw_affiliation_string":"Allen Institute for Artificial Intelligence","institution_ids":["https://openalex.org/I4210156221"]},{"raw_affiliation_string":"University of Washington, Seattle, United States","institution_ids":["https://openalex.org/I58610484","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","https://openalex.org/I58610484"],"apc_list":null,"apc_paid":null,"fwci":2.7078,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.9221879,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2289","last_page":"2299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987999796867371,"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":0.9987999796867371,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9916999936103821,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9786999821662903,"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/narrative","display_name":"Narrative","score":0.6957587003707886},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.668500542640686},{"id":"https://openalex.org/keywords/folk-psychology","display_name":"Folk psychology","score":0.5892845392227173},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.5640710592269897},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.490695595741272},{"id":"https://openalex.org/keywords/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.47924259305000305},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.46390172839164734},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4541763961315155},{"id":"https://openalex.org/keywords/psychological-research","display_name":"Psychological research","score":0.4527745842933655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4465557634830475},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44602859020233154},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.4369655251502991},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4263029396533966},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.42151740193367004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.312402606010437},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.2863418757915497},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.2812744975090027},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11136487126350403},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07030081748962402},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.07018411159515381}],"concepts":[{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.6957587003707886},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.668500542640686},{"id":"https://openalex.org/C128482177","wikidata":"https://www.wikidata.org/wiki/Q1429140","display_name":"Folk psychology","level":2,"score":0.5892845392227173},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.5640710592269897},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.490695595741272},{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.47924259305000305},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.46390172839164734},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4541763961315155},{"id":"https://openalex.org/C188255311","wikidata":"https://www.wikidata.org/wiki/Q7256388","display_name":"Psychological research","level":2,"score":0.4527745842933655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4465557634830475},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44602859020233154},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.4369655251502991},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4263029396533966},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.42151740193367004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.312402606010437},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.2863418757915497},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2812744975090027},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11136487126350403},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07030081748962402},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.07018411159515381},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/p18-1213","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1213","pdf_url":"https://www.aclweb.org/anthology/P18-1213.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:1805.06533","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1805.06533","pdf_url":"https://arxiv.org/pdf/1805.06533","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:2798589784","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1805.06533","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.1805.06533","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1805.06533","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/p18-1213","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1213","pdf_url":"https://www.aclweb.org/anthology/P18-1213.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":"Quality Education","score":0.8899999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1378422078","display_name":null,"funder_award_id":"NSF GRF","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1884798878","display_name":null,"funder_award_id":"NSF GRFP","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"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/G5310676827","display_name":"RI: Small: A Data-Driven Framework to Sketch-to-Text Generation","funder_award_id":"1524371","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"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"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332195","display_name":"Samsung","ror":"https://ror.org/04w3jy968"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798589784.pdf","grobid_xml":"https://content.openalex.org/works/W2798589784.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W11298561","https://openalex.org/W1525961042","https://openalex.org/W1787105636","https://openalex.org/W1993027114","https://openalex.org/W2040467972","https://openalex.org/W2061131717","https://openalex.org/W2064675550","https://openalex.org/W2066064791","https://openalex.org/W2095705004","https://openalex.org/W2112120722","https://openalex.org/W2140910804","https://openalex.org/W2162040794","https://openalex.org/W2250539671","https://openalex.org/W2252037843","https://openalex.org/W2293502436","https://openalex.org/W2328886022","https://openalex.org/W2423576022","https://openalex.org/W2466175319","https://openalex.org/W2561658355","https://openalex.org/W2563734883","https://openalex.org/W2565649476","https://openalex.org/W2692059227","https://openalex.org/W2735574368","https://openalex.org/W2740167620","https://openalex.org/W2770056630","https://openalex.org/W2949378066","https://openalex.org/W2949888546","https://openalex.org/W2963482033","https://openalex.org/W2963711448","https://openalex.org/W2963783498","https://openalex.org/W2963925965","https://openalex.org/W2964121744","https://openalex.org/W3045574605"],"related_works":["https://openalex.org/W2101105183","https://openalex.org/W2184999107","https://openalex.org/W1579181926","https://openalex.org/W2125797832","https://openalex.org/W2964895772","https://openalex.org/W2400592540","https://openalex.org/W2175859969","https://openalex.org/W2530377899","https://openalex.org/W2739967984","https://openalex.org/W583680991","https://openalex.org/W575990187","https://openalex.org/W85653036","https://openalex.org/W49630116","https://openalex.org/W3214004402","https://openalex.org/W3159268540","https://openalex.org/W4226238010","https://openalex.org/W2050265764","https://openalex.org/W3010303233","https://openalex.org/W2604036818","https://openalex.org/W2585205271"],"abstract_inverted_index":{"Understanding":[0],"a":[1,42,69],"narrative":[2],"requires":[3],"reading":[4],"between":[5],"the":[6,11],"lines":[7],"and":[8,18,63,77],"reasoning":[9],"about":[10,16],"unspoken":[12],"but":[13,29],"obvious":[14],"implications":[15],"events":[17],"people's":[19],"mental":[20,57],"states":[21,58],"-a":[22],"capability":[23],"that":[24],"is":[25],"trivial":[26],"for":[27,32,87],"humans":[28],"remarkably":[30],"hard":[31],"machines.":[33],"To":[34],"facilitate":[35],"research":[36],"addressing":[37],"this":[38],"challenge,":[39],"we":[40],"introduce":[41],"new":[43,70,83],"annotation":[44],"framework":[45],"to":[46,61],"explain":[47],"naive":[48],"psychology":[49],"of":[50,56],"story":[51],"characters":[52],"as":[53],"fully-specified":[54],"chains":[55],"with":[59,73],"respect":[60],"motivations":[62],"emotional":[64],"reactions.":[65],"Our":[66],"work":[67],"presents":[68],"largescale":[71],"dataset":[72],"rich":[74],"low-level":[75],"annotations":[76],"establishes":[78],"baseline":[79],"performance":[80],"on":[81],"several":[82],"tasks,":[84],"suggesting":[85],"avenues":[86],"future":[88],"research.":[89]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}