{"id":"https://openalex.org/W2890499923","doi":"https://doi.org/10.18653/v1/d18-1115","title":"Conversational Decision-Making Model for Predicting the King\u2019s Decision in the Annals of the Joseon Dynasty","display_name":"Conversational Decision-Making Model for Predicting the King\u2019s Decision in the Annals of the Joseon Dynasty","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2890499923","doi":"https://doi.org/10.18653/v1/d18-1115","mag":"2890499923"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d18-1115","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1115","pdf_url":"https://www.aclweb.org/anthology/D18-1115.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 2018 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://www.aclweb.org/anthology/D18-1115.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044635661","display_name":"JinYeong Bak","orcid":"https://orcid.org/0000-0002-3212-5241"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"JinYeong Bak","raw_affiliation_strings":["School of Computing KAIST Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computing KAIST Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054771988","display_name":"Alice Oh","orcid":"https://orcid.org/0000-0002-7884-3038"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Alice Oh","raw_affiliation_strings":["School of Computing KAIST Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Computing KAIST Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5044635661"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":null,"apc_paid":null,"fwci":0.677,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77866571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"956","last_page":"961"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9954000115394592,"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":0.9954000115394592,"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/T13910","display_name":"Computational and Text Analysis Methods","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9918000102043152,"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/annals","display_name":"Annals","score":0.8672007322311401},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7185382843017578},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6884719133377075},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.6117729544639587},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5509735941886902},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49802589416503906},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49112412333488464},{"id":"https://openalex.org/keywords/group-decision-making","display_name":"Group decision-making","score":0.4479248523712158},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.32101666927337646},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2110712230205536},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.1241200864315033},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.09493055939674377}],"concepts":[{"id":"https://openalex.org/C2780708616","wikidata":"https://www.wikidata.org/wiki/Q193866","display_name":"Annals","level":2,"score":0.8672007322311401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7185382843017578},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6884719133377075},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.6117729544639587},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5509735941886902},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49802589416503906},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49112412333488464},{"id":"https://openalex.org/C20701700","wikidata":"https://www.wikidata.org/wiki/Q388791","display_name":"Group decision-making","level":2,"score":0.4479248523712158},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.32101666927337646},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2110712230205536},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.1241200864315033},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.09493055939674377},{"id":"https://openalex.org/C195244886","wikidata":"https://www.wikidata.org/wiki/Q41493","display_name":"Ancient history","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/d18-1115","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1115","pdf_url":"https://www.aclweb.org/anthology/D18-1115.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d18-1115","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d18-1115","pdf_url":"https://www.aclweb.org/anthology/D18-1115.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 2018 Conference on Empirical Methods in Natural Language Processing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1446640842","display_name":null,"funder_award_id":"2017-0-01778","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G3953289899","display_name":null,"funder_award_id":"2017-0-01778","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"},{"id":"https://openalex.org/G6072120315","display_name":null,"funder_award_id":"funded","funder_id":"https://openalex.org/F4320335489","funder_display_name":"Institute for Information and Communications Technology Promotion"}],"funders":[{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"},{"id":"https://openalex.org/F4320335489","display_name":"Institute for Information and Communications Technology Promotion","ror":"https://ror.org/01g0hqq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2890499923.pdf","grobid_xml":"https://content.openalex.org/works/W2890499923.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W73240503","https://openalex.org/W1532325895","https://openalex.org/W1595776529","https://openalex.org/W1614298861","https://openalex.org/W2004813302","https://openalex.org/W2019485109","https://openalex.org/W2045556869","https://openalex.org/W2049972102","https://openalex.org/W2095705004","https://openalex.org/W2104367213","https://openalex.org/W2104855483","https://openalex.org/W2108560593","https://openalex.org/W2118704323","https://openalex.org/W2125336414","https://openalex.org/W2133564696","https://openalex.org/W2153430423","https://openalex.org/W2296283641","https://openalex.org/W2366141641","https://openalex.org/W2432978112","https://openalex.org/W2470673105","https://openalex.org/W2477768803","https://openalex.org/W2493916176","https://openalex.org/W2950577311","https://openalex.org/W2953384591","https://openalex.org/W2962756421","https://openalex.org/W2963626623","https://openalex.org/W2963667932","https://openalex.org/W2964308564","https://openalex.org/W2964352131","https://openalex.org/W2985295587","https://openalex.org/W4297571622","https://openalex.org/W4297801177"],"related_works":["https://openalex.org/W2315831928","https://openalex.org/W2384823386","https://openalex.org/W2370839169","https://openalex.org/W2373633244","https://openalex.org/W4243942304","https://openalex.org/W2357685401","https://openalex.org/W2355363882","https://openalex.org/W2373865668","https://openalex.org/W2367435287","https://openalex.org/W655918239"],"abstract_inverted_index":{"Styles":[0],"of":[1,17,37,73],"leaders":[2],"when":[3],"they":[4],"make":[5],"decisions":[6,40,89],"in":[7,70],"groups":[8],"vary,":[9],"and":[10,25,58,66,107],"the":[11,15,18,22,33,71,91,104,111],"different":[12],"styles":[13],"affect":[14],"performance":[16],"group.":[19],"To":[20],"understand":[21],"key":[23,105],"words":[24,106],"speakers":[26,108],"associated":[27],"with":[28,43,64],"decisions,":[29],"we":[30,49],"initially":[31],"formalize":[32],"problem":[34],"as":[35,113],"one":[36],"predicting":[38],"leaders'":[39,87],"from":[41,54,90,110],"discussion":[42],"group":[44],"members.":[45],"As":[46],"a":[47,55,60],"dataset,":[48],"introduce":[50],"conversational":[51],"meeting":[52],"records":[53],"historical":[56],"corpus,":[57],"develop":[59],"hierarchical":[61],"RNN":[62],"structure":[63],"attention":[65],"pre-trained":[67],"speaker":[68],"embedding":[69],"form":[72],"a,":[74],"Conversational":[75],"Decision":[76],"Making":[77],"Model":[78],"(CDMM).":[79],"The":[80],"CDMM":[81,96],"outperforms":[82],"other":[83,100],"baselines":[84],"to":[85],"predict":[86],"final":[88],"data.":[92],"We":[93],"explain":[94],"why":[95],"works":[97],"better":[98],"than":[99],"methods":[101],"by":[102],"showing":[103],"discovered":[109],"attentions":[112],"evidence.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}