{"id":"https://openalex.org/W4312698326","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892162","title":"An Enhanced Key-utterance Interactive Model with Decouped Auxiliary Tasks for Multi-party Dialogue Reading Comprehension","display_name":"An Enhanced Key-utterance Interactive Model with Decouped Auxiliary Tasks for Multi-party Dialogue Reading Comprehension","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312698326","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892162"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892162","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100717171","display_name":"Xingyu Zhu","orcid":"https://orcid.org/0009-0001-8392-369X"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyu Zhu","raw_affiliation_strings":["School of Information Science and Engineering Yunnan University,Kunming,China","School of Information Science and Engineering Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University,Kunming,China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113414416","display_name":"Jin Wang","orcid":"https://orcid.org/0000-0002-8298-4378"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Wang","raw_affiliation_strings":["School of Information Science and Engineering Yunnan University,Kunming,China","School of Information Science and Engineering Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University,Kunming,China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100707916","display_name":"Xuejie Zhang","orcid":"https://orcid.org/0000-0002-6591-0916"},"institutions":[{"id":"https://openalex.org/I189210763","display_name":"Yunnan University","ror":"https://ror.org/0040axw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I189210763"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejie Zhang","raw_affiliation_strings":["School of Information Science and Engineering Yunnan University,Kunming,China","School of Information Science and Engineering Yunnan University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University,Kunming,China","institution_ids":["https://openalex.org/I189210763"]},{"raw_affiliation_string":"School of Information Science and Engineering Yunnan University, Kunming, China","institution_ids":["https://openalex.org/I189210763"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I189210763"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":1.0,"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":1.0,"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":0.9966999888420105,"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":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.9504746794700623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8279333114624023},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.701281726360321},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5213186144828796},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5195822715759277},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.4953514635562897},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49132004380226135},{"id":"https://openalex.org/keywords/reading-comprehension","display_name":"Reading comprehension","score":0.46302714943885803},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4588729441165924},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.457946240901947},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4317231774330139},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.42714419960975647},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.38322263956069946},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.24649348855018616}],"concepts":[{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.9504746794700623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8279333114624023},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.701281726360321},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5213186144828796},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5195822715759277},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.4953514635562897},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49132004380226135},{"id":"https://openalex.org/C2778780117","wikidata":"https://www.wikidata.org/wiki/Q3269423","display_name":"Reading comprehension","level":3,"score":0.46302714943885803},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4588729441165924},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.457946240901947},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4317231774330139},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.42714419960975647},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.38322263956069946},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.24649348855018616},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892162","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7099999785423279,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G222719268","display_name":null,"funder_award_id":"61966038,61762091","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2604314403","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2912904516","https://openalex.org/W2936864631","https://openalex.org/W2949615363","https://openalex.org/W2962854379","https://openalex.org/W2963241825","https://openalex.org/W2963323070","https://openalex.org/W2963748441","https://openalex.org/W2964321699","https://openalex.org/W2966126777","https://openalex.org/W2979826702","https://openalex.org/W2979928633","https://openalex.org/W2985882473","https://openalex.org/W2996428491","https://openalex.org/W3034565015","https://openalex.org/W3086456409","https://openalex.org/W3101471490","https://openalex.org/W3114142294","https://openalex.org/W3115149992","https://openalex.org/W3133407825","https://openalex.org/W3197287583","https://openalex.org/W3198950523","https://openalex.org/W4206674056","https://openalex.org/W4287824654","https://openalex.org/W4380027478","https://openalex.org/W4385245566","https://openalex.org/W6632455782","https://openalex.org/W6720006811","https://openalex.org/W6735632219","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6768021236","https://openalex.org/W6771917389","https://openalex.org/W6800781628"],"related_works":["https://openalex.org/W2529301793","https://openalex.org/W2384121599","https://openalex.org/W2038083449","https://openalex.org/W3177678247","https://openalex.org/W1999617572","https://openalex.org/W2498532522","https://openalex.org/W2082296339","https://openalex.org/W2161828220","https://openalex.org/W1972348076","https://openalex.org/W2083863157"],"abstract_inverted_index":{"Multi-party":[0],"dialogue":[1,65,116,163],"machine":[2],"reading":[3],"comprehension":[4],"(MRC)":[5],"is":[6,107],"more":[7,18],"challenging":[8],"than":[9,161],"plain":[10],"text":[11],"MRC":[12,164],"because":[13],"it":[14],"involves":[15],"multiple":[16],"speakers,":[17],"complex":[19],"information":[20,36,59,113,136],"flow":[21],"interaction,":[22],"and":[23,34,46,53,64,72,119,127,147,169],"discourse":[24],"structure.":[25],"Previously":[26],"most":[27],"researchers":[28],"focus":[29],"on":[30,42,51],"decoupling":[31],"the":[32,44,58,80,94,104,111,122,139,155,162],"speaker-aware":[33],"utterance-aware":[35],"to":[37,109,143],"overcome":[38],"such":[39],"difficulties.":[40],"Based":[41],"this,":[43],"self-":[45],"pseudo-self-supervised":[47],"prediction":[48],"auxiliary":[49,98,141],"tasks":[50,142],"speakers":[52],"key-utterance":[54,89,95,120],"are":[55],"proposed.":[56],"However,":[57],"interaction":[60,90,114],"among":[61,115],"key-utterance,":[62],"question,":[63,118],"context":[66],"was":[67],"ignored":[68],"in":[69,167],"these":[70],"works,":[71],"there":[73],"should":[74],"also":[75],"be":[76],"a":[77],"constraint":[78],"between":[79,138],"two":[81,123,140],"additional":[82],"tasks.":[83],"Herein,":[84],"we":[85,132],"proposed":[86,156],"an":[87],"enhanced":[88],"model.":[91],"It":[92],"takes":[93],"predicted":[96],"by":[97],"task":[99],"as":[100],"prior":[101],"information.":[102,150],"Moreover,":[103],"co-attention":[105],"mechanism":[106],"used":[108],"capture":[110],"critical":[112],"contexts,":[117],"from":[121],"perspectives":[124],"of":[125,149],"question-to-dialogue":[126],"dialogue-to-question,":[128],"respectively.":[129],"In":[130],"addition,":[131],"introduced":[133],"minimizing":[134],"mutual":[135,145],"(MI)":[137],"prevent":[144],"interference":[146],"overlap":[148],"Experimental":[151],"results":[152],"show":[153],"that":[154],"model":[157],"achieves":[158],"significant":[159],"improvements":[160],"baseline":[165],"models":[166],"Molweni":[168],"FriendsQA":[170],"datasets.":[171]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}