{"id":"https://openalex.org/W2952404914","doi":"https://doi.org/10.18653/v1/d13-1036","title":"Unsupervised Induction of Contingent Event Pairs from Film Scenes","display_name":"Unsupervised Induction of Contingent Event Pairs from Film Scenes","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2952404914","doi":"https://doi.org/10.18653/v1/d13-1036","mag":"2952404914"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d13-1036","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1036","pdf_url":"https://aclanthology.org/D13-1036.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/D13-1036.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021626498","display_name":"Zhichao Hu","orcid":"https://orcid.org/0000-0003-1628-4274"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhichao Hu","raw_affiliation_strings":["University of California, Santa Cruz, Santa Cruz, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz, Santa Cruz, United States","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046081152","display_name":"Elahe Rahimtoroghi","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elahe Rahimtoroghi","raw_affiliation_strings":["University of California, Santa Cruz, Santa Cruz, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz, Santa Cruz, United States","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032345635","display_name":"Larissa A. Munishkina","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Larissa Munishkina","raw_affiliation_strings":["University of California, Santa Cruz, Santa Cruz, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz, Santa Cruz, United States","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021828171","display_name":"Reid Swanson","orcid":null},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reid Swanson","raw_affiliation_strings":["University of California, Santa Cruz, Santa Cruz, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Santa Cruz, Santa Cruz, United States","institution_ids":["https://openalex.org/I185103710"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102868325","display_name":"Marilyn Walker","orcid":"https://orcid.org/0000-0003-3306-6439"},"institutions":[{"id":"https://openalex.org/I185103710","display_name":"University of California, Santa Cruz","ror":"https://ror.org/03s65by71","country_code":"US","type":"education","lineage":["https://openalex.org/I185103710"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marilyn A. Walker","raw_affiliation_strings":["UNIVERSITY OF CALIFORNIA (SANTA CRUZ)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UNIVERSITY OF CALIFORNIA (SANTA CRUZ)","institution_ids":["https://openalex.org/I185103710"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185103710"],"apc_list":null,"apc_paid":null,"fwci":1.9774,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.89611992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"369","last_page":"379"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9993000030517578,"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/event","display_name":"Event (particle physics)","score":0.7240185141563416},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.7199100255966187},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6655757427215576},{"id":"https://openalex.org/keywords/contingency","display_name":"Contingency","score":0.6641073226928711},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6578508019447327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6070156693458557},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5364229679107666},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5212836265563965},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4762311577796936},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46607208251953125},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.43430712819099426},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36783868074417114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18987330794334412},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.13001000881195068}],"concepts":[{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7240185141563416},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.7199100255966187},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6655757427215576},{"id":"https://openalex.org/C97508593","wikidata":"https://www.wikidata.org/wiki/Q1359069","display_name":"Contingency","level":2,"score":0.6641073226928711},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6578508019447327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6070156693458557},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5364229679107666},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5212836265563965},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4762311577796936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46607208251953125},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.43430712819099426},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36783868074417114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18987330794334412},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.13001000881195068},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d13-1036","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1036","pdf_url":"https://aclanthology.org/D13-1036.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d13-1036","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d13-1036","pdf_url":"https://aclanthology.org/D13-1036.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 2013 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2952404914.pdf"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W102059219","https://openalex.org/W1492031853","https://openalex.org/W1729310130","https://openalex.org/W1787105636","https://openalex.org/W1846895676","https://openalex.org/W1933455514","https://openalex.org/W1970381522","https://openalex.org/W1973501513","https://openalex.org/W1990689692","https://openalex.org/W1993027114","https://openalex.org/W2088245667","https://openalex.org/W2109462987","https://openalex.org/W2128116572","https://openalex.org/W2129345386","https://openalex.org/W2140890285","https://openalex.org/W2143539737","https://openalex.org/W2149273804","https://openalex.org/W2151295812","https://openalex.org/W2158794898","https://openalex.org/W2166957049","https://openalex.org/W2169726993","https://openalex.org/W2402954262","https://openalex.org/W2952101563"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"Human":[0],"engagement":[1],"in":[2,31],"narrative":[3,13],"is":[4,20,64],"partially":[5],"driven":[6],"by":[7,70,122],"reasoning":[8],"about":[9,18],"discourse":[10,52],"relations":[11],"between":[12,68],"events,":[14],"and":[15,82,118],"the":[16,47,50,132,139],"expectations":[17,37],"what":[19],"likely":[21,93],"to":[22,65,94,146,155],"happen":[23],"next":[24],"that":[25,91,104,131],"results":[26,121,129],"from":[27,38,107],"such":[28,36],"reasoning.":[29,61],"Researchers":[30],"NLP":[32],"have":[33],"tackled":[34],"modeling":[35],"a":[39,56,108,149],"range":[40],"of":[41,49,58,74,77,110,126,134,142,151,159],"perspectives,":[42],"including":[43],"treating":[44],"it":[45],"as":[46,55,153],"inference":[48],"contingent":[51,96],"relation,":[53],"or":[54],"type":[57],"common-sense":[59],"causal":[60],"Our":[62,128],"approach":[63],"model":[66],"likelihood":[67],"events":[69],"drawing":[71],"on":[72,97],"several":[73],"these":[75],"lines":[76],"previous":[78],"work.":[79],"We":[80,100],"implement":[81],"evaluate":[83,119],"different":[84],"unsupervised":[85],"methods":[86],"for":[87],"learning":[88],"event":[89,102],"pairs":[90,103],"are":[92],"be":[95],"one":[98],"another.":[99],"refine":[101],"we":[105],"learn":[106],"corpus":[109],"film":[111],"scene":[112],"descriptions":[113],"utilizing":[114],"web":[115,135,162],"search":[116,136],"counts,":[117],"our":[120,143],"collecting":[123],"human":[124],"judgments":[125],"contingency.":[127],"indicate":[130],"use":[133],"counts":[137],"increases":[138],"average":[140,157],"accuracy":[141,158],"best":[144],"method":[145],"85.64%":[147],"over":[148],"baseline":[150],"50%,":[152],"compared":[154],"an":[156],"75.15%":[160],"without":[161],"search.":[163]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}