{"id":"https://openalex.org/W4319986894","doi":"https://doi.org/10.1109/access.2023.3241345","title":"Dialogue Logic Aware and Key Utterance Decoupling Model for Multi-Party Dialogue Reading Comprehension","display_name":"Dialogue Logic Aware and Key Utterance Decoupling Model for Multi-Party Dialogue Reading Comprehension","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4319986894","doi":"https://doi.org/10.1109/access.2023.3241345"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3241345","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3241345","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10034660.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10034660.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005880470","display_name":"Tianqing Yang","orcid":"https://orcid.org/0000-0002-7567-6406"},"institutions":[{"id":"https://openalex.org/I4210144930","display_name":"Baoshan College","ror":"https://ror.org/04t69c375","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqing Yang","raw_affiliation_strings":["School of Big Data, Baoshan University, Baoshan, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0002-7567-6406","affiliations":[{"raw_affiliation_string":"School of Big Data, Baoshan University, Baoshan, Yunnan, China","institution_ids":["https://openalex.org/I4210144930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047085200","display_name":"Tao Wu","orcid":"https://orcid.org/0009-0009-1343-918X"},"institutions":[{"id":"https://openalex.org/I4210144930","display_name":"Baoshan College","ror":"https://ror.org/04t69c375","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wu","raw_affiliation_strings":["School of Big Data, Baoshan University, Baoshan, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data, Baoshan University, Baoshan, Yunnan, China","institution_ids":["https://openalex.org/I4210144930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109298613","display_name":"Song Gao","orcid":"https://orcid.org/0000-0003-1649-073X"},"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":"Song Gao","raw_affiliation_strings":["National Pilot School of Software, Yunnan University, Kunming, Yunnan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Pilot School of Software, Yunnan University, Kunming, Yunnan, China","institution_ids":["https://openalex.org/I189210763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060213646","display_name":"Jingzong Yang","orcid":"https://orcid.org/0000-0002-2211-8718"},"institutions":[{"id":"https://openalex.org/I4210144930","display_name":"Baoshan College","ror":"https://ror.org/04t69c375","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210144930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingzong Yang","raw_affiliation_strings":["School of Big Data, Baoshan University, Baoshan, Yunnan, China"],"raw_orcid":"https://orcid.org/0000-0002-2211-8718","affiliations":[{"raw_affiliation_string":"School of Big Data, Baoshan University, Baoshan, Yunnan, China","institution_ids":["https://openalex.org/I4210144930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9518,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78035383,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"11","issue":null,"first_page":"10985","last_page":"10994"},"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":0.9988999962806702,"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/T12031","display_name":"Speech and dialogue systems","score":0.9948999881744385,"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":0.8536301255226135},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.7713905572891235},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5959721207618713},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.540051281452179},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4449566602706909},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44369012117385864},{"id":"https://openalex.org/keywords/comprehension","display_name":"Comprehension","score":0.44207119941711426},{"id":"https://openalex.org/keywords/language-understanding","display_name":"Language understanding","score":0.410699725151062}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8536301255226135},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.7713905572891235},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5959721207618713},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.540051281452179},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4449566602706909},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44369012117385864},{"id":"https://openalex.org/C511192102","wikidata":"https://www.wikidata.org/wiki/Q5156948","display_name":"Comprehension","level":2,"score":0.44207119941711426},{"id":"https://openalex.org/C2983448237","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Language understanding","level":2,"score":0.410699725151062},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3241345","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3241345","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10034660.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8022a283babf4b51b932620787928400","is_oa":true,"landing_page_url":"https://doaj.org/article/8022a283babf4b51b932620787928400","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 10985-10994 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3241345","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3241345","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10034660.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4319986894.pdf","grobid_xml":"https://content.openalex.org/works/W4319986894.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W2604314403","https://openalex.org/W2910795780","https://openalex.org/W2984441266","https://openalex.org/W3001393026","https://openalex.org/W3086456409","https://openalex.org/W3130890978","https://openalex.org/W3133407825","https://openalex.org/W3160386081","https://openalex.org/W3162233300","https://openalex.org/W3162462834","https://openalex.org/W3192484213","https://openalex.org/W3196783364","https://openalex.org/W3198950523","https://openalex.org/W3213472637","https://openalex.org/W3217747958","https://openalex.org/W4296841007","https://openalex.org/W4360997035","https://openalex.org/W4385245566","https://openalex.org/W6623987585","https://openalex.org/W6718053083","https://openalex.org/W6719788051","https://openalex.org/W6752279814","https://openalex.org/W6755207826","https://openalex.org/W6755960745","https://openalex.org/W6764961387","https://openalex.org/W6767220426","https://openalex.org/W6769049841","https://openalex.org/W6771917389","https://openalex.org/W6772229619","https://openalex.org/W6775920415","https://openalex.org/W6776200344","https://openalex.org/W6785353957","https://openalex.org/W6785637982","https://openalex.org/W6786240170","https://openalex.org/W6788047979","https://openalex.org/W6795795290","https://openalex.org/W6796904973","https://openalex.org/W6800221252","https://openalex.org/W6801460524","https://openalex.org/W6802385415"],"related_works":["https://openalex.org/W1596769518","https://openalex.org/W2358812761","https://openalex.org/W2886693075","https://openalex.org/W2329452785","https://openalex.org/W2356380379","https://openalex.org/W2356373380","https://openalex.org/W2789919619","https://openalex.org/W2363925233","https://openalex.org/W2293457016","https://openalex.org/W3198503472"],"abstract_inverted_index":{"Multi-party":[0],"dialogue":[1,34,77,91,154],"machine":[2],"reading":[3],"comprehension":[4],"(MRC)":[5],"brings":[6],"an":[7],"unprecedented":[8],"challenge":[9],"due":[10],"to":[11,40,65,88,99,103],"the":[12,16,30,50,66,82,90,101,119],"multiple":[13],"speakers":[14],"and":[15,36,53,93,126,134,143,155,160],"complex":[17,61],"discourse":[18,55,62,105,121],"linkages":[19],"among":[20],"speaker-aware":[21,42],"utterances.":[22],"The":[23],"majority":[24],"of":[25,33,153],"current":[26,144],"methods":[27],"only":[28],"consider":[29],"textual":[31],"aspects":[32],"situations,":[35],"pay":[37],"little":[38],"attention":[39],"crucial":[41],"cues.":[43],"This":[44],"prevents":[45],"a":[46,60,76,95,110],"model":[47,67],"from":[48],"capturing":[49],"speaker\u2019s":[51],"intention":[52],"important":[54],"information":[56,113,122],"for":[57],"questions":[58,156],"in":[59],"relationship,":[63],"leading":[64],"giving":[68],"wrong":[69],"answers.":[70],"In":[71],"this":[72],"paper,":[73],"we":[74,108],"construct":[75,109],"logic":[78],"graph":[79,84],"module":[80,115],"by":[81],"relational":[83],"convolutional":[85],"network":[86],"(R-GCN)":[87],"structure":[89],"information,":[92],"design":[94],"speaker":[96],"prediction":[97],"task":[98],"enhance":[100],"ability":[102],"capture":[104],"logic.":[106],"Additionally,":[107],"key":[111,120],"utterance":[112],"decoupling":[114],"that":[116,137],"focuses":[117],"on":[118],"flow":[123],"involve":[124],"questions,":[125],"filters":[127],"out":[128],"noise":[129],"information.":[130],"Extensive":[131],"experiments":[132],"FriendsQA":[133],"Molweni":[135],"show":[136],"our":[138],"approach":[139],"outperforms":[140],"competitive":[141],"baselines":[142],"state-of-the-art":[145],"models,":[146],"especially":[147],"when":[148],"dealing":[149],"with":[150],"more":[151],"rounds":[152],"involving":[157],"people,":[158],"events":[159],"time.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
