{"id":"https://openalex.org/W3034545352","doi":"https://doi.org/10.24963/ijcai.2020/535","title":"End-to-End Transition-Based Online Dialogue Disentanglement","display_name":"End-to-End Transition-Based Online Dialogue Disentanglement","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3034545352","doi":"https://doi.org/10.24963/ijcai.2020/535","mag":"3034545352"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2020/535","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/535","pdf_url":"https://www.ijcai.org/proceedings/2020/0535.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2020/0535.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100387512","display_name":"Hui Liu","orcid":"https://orcid.org/0000-0001-7158-913X"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Ingenuity Labs Research Institute & ECE, Queen\u2019s University, Canada","Ingenuity Labs Research Institute & ECE, Queen's University, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ingenuity Labs Research Institute & ECE, Queen\u2019s University, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Ingenuity Labs Research Institute & ECE, Queen's University, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086314063","display_name":"Zhan Shi","orcid":"https://orcid.org/0000-0002-7798-1121"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhan Shi","raw_affiliation_strings":["Ingenuity Labs Research Institute & ECE, Queen\u2019s University, Canada","Ingenuity Labs Research Institute & ECE, Queen's University, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ingenuity Labs Research Institute & ECE, Queen\u2019s University, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Ingenuity Labs Research Institute & ECE, Queen's University, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005572782","display_name":"Jia-Chen Gu","orcid":"https://orcid.org/0000-0002-8801-1438"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia-Chen Gu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100414574","display_name":"Quan Liu","orcid":"https://orcid.org/0000-0002-8710-1810"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Quan Liu","raw_affiliation_strings":["State Key Laboratory of Cognitive Intelligence, iFLYTEK Research, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Cognitive Intelligence, iFLYTEK Research, Hefei, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050660824","display_name":"Si Wei","orcid":"https://orcid.org/0000-0002-8363-9111"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Si Wei","raw_affiliation_strings":["State Key Laboratory of Cognitive Intelligence, iFLYTEK Research, Hefei, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Cognitive Intelligence, iFLYTEK Research, Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016892586","display_name":"Xiaodan Zhu","orcid":"https://orcid.org/0000-0003-3856-3696"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaodan Zhu","raw_affiliation_strings":["Ingenuity Labs Research Institute & ECE, Queen\u2019s University, Canada","Ingenuity Labs Research Institute & ECE, Queen's University, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ingenuity Labs Research Institute & ECE, Queen\u2019s University, Canada","institution_ids":["https://openalex.org/I204722609"]},{"raw_affiliation_string":"Ingenuity Labs Research Institute & ECE, Queen's University, Canada","institution_ids":["https://openalex.org/I204722609"]}]}],"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":false,"cited_by_count":30,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3868","last_page":"3874"},"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/T11147","display_name":"Misinformation and Its Impacts","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9857000112533569,"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":0.85416179895401},{"id":"https://openalex.org/keywords/session","display_name":"Session (web analytics)","score":0.7302739024162292},{"id":"https://openalex.org/keywords/coherence","display_name":"Coherence (philosophical gambling strategy)","score":0.633074939250946},{"id":"https://openalex.org/keywords/scripting-language","display_name":"Scripting language","score":0.5999320149421692},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5886977314949036},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5628596544265747},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5514711141586304},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.549595296382904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.433359831571579},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3403533101081848},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3351931571960449},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15241673588752747}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.85416179895401},{"id":"https://openalex.org/C2779182362","wikidata":"https://www.wikidata.org/wiki/Q17126187","display_name":"Session (web analytics)","level":2,"score":0.7302739024162292},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.633074939250946},{"id":"https://openalex.org/C61423126","wikidata":"https://www.wikidata.org/wiki/Q187432","display_name":"Scripting language","level":2,"score":0.5999320149421692},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5886977314949036},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5628596544265747},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5514711141586304},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.549595296382904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.433359831571579},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3403533101081848},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3351931571960449},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15241673588752747},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2020/535","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/535","pdf_url":"https://www.ijcai.org/proceedings/2020/0535.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2020/535","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2020/535","pdf_url":"https://www.ijcai.org/proceedings/2020/0535.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3034545352.pdf","grobid_xml":"https://content.openalex.org/works/W3034545352.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W648786980","https://openalex.org/W1522301498","https://openalex.org/W1594112393","https://openalex.org/W1821462560","https://openalex.org/W2064675550","https://openalex.org/W2113063049","https://openalex.org/W2121912514","https://openalex.org/W2134036914","https://openalex.org/W2187089797","https://openalex.org/W2250539671","https://openalex.org/W2250861254","https://openalex.org/W2516334389","https://openalex.org/W2597655663","https://openalex.org/W2602111447","https://openalex.org/W2760872111","https://openalex.org/W2767487732","https://openalex.org/W2773782067","https://openalex.org/W2803119681","https://openalex.org/W2890798167","https://openalex.org/W2896457183","https://openalex.org/W2949600515","https://openalex.org/W2949952998","https://openalex.org/W2962739339","https://openalex.org/W2963341956","https://openalex.org/W2963736842","https://openalex.org/W3106210213"],"related_works":["https://openalex.org/W4230197055","https://openalex.org/W4296749040","https://openalex.org/W4404605447","https://openalex.org/W621808327","https://openalex.org/W644007644","https://openalex.org/W2497198634","https://openalex.org/W3012257603","https://openalex.org/W1586784764","https://openalex.org/W4292264782","https://openalex.org/W1559289099"],"abstract_inverted_index":{"Dialogue":[0],"disentanglement":[1],"aims":[2],"to":[3],"separate":[4,35],"intermingled":[5],"messages":[6,27,102],"into":[7,34,106],"detached":[8],"sessions.":[9,109,184],"The":[10,93,157],"existing":[11,39,166],"research":[12,112],"focuses":[13],"on":[14,44,89,140],"two-step":[15],"architectures,":[16],"in":[17,95],"which":[18],"a":[19,91,96,125],"model":[20,70,76,139,162,173],"first":[21,66],"retrieves":[22],"the":[23,31,54,65,78,85,111,142,147,165,176],"relationships":[24],"between":[25],"two":[26],"and":[28,50,146,179],"then":[29],"divides":[30],"message":[32],"stream":[33],"clusters.":[36],"Almost":[37],"all":[38],"work":[40],"puts":[41],"significant":[42],"efforts":[43],"selecting":[45],"features":[46],"for":[47,71,117],"message-pair":[48],"classification":[49],"clustering,":[51],"while":[52],"ignoring":[53],"semantic":[55],"coherence":[56,94],"within":[57],"each":[58,82],"session.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63,123,144],"introduce":[64],"end-to-":[67],"end":[68],"transition-based":[69],"online":[72,86,133],"dialogue":[73,120],"disentanglement.":[74],"Our":[75],"captures":[77,175],"sequential":[79,177],"information":[80],"of":[81],"session":[83,97],"as":[84],"algorithm":[87],"proceeds":[88],"processing":[90],"dialogue.":[92],"is":[98],"hence":[99],"modeled":[100],"when":[101],"are":[103],"sequentially":[104],"added":[105],"their":[107],"best-matching":[108],"Meanwhile,":[110],"field":[113],"still":[114],"lacks":[115],"data":[116],"studying":[118],"end-to-end":[119],"disentanglement,":[121],"so":[122],"construct":[124],"large-scale":[126],"dataset":[127,143,152],"by":[128],"extracting":[129],"coherent":[130,182],"dialogues":[131],"from":[132],"movie":[134],"scripts.":[135],"We":[136],"evaluate":[137],"our":[138,161,172],"both":[141],"developed":[145],"publicly":[148],"available":[149],"Ubuntu":[150],"IRC":[151],"[Kummerfeld":[153],"et":[154],"al.,":[155],"2019].":[156],"results":[158],"show":[159],"that":[160,171],"significantly":[163],"outperforms":[164],"algorithms.":[167],"Further":[168],"experiments":[169],"demonstrate":[170],"better":[174],"semantics":[178],"obtains":[180],"more":[181],"disentangled":[183]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}