{"id":"https://openalex.org/W4410582277","doi":"https://doi.org/10.1109/tnnls.2025.3568211","title":"Enhancing Multiparty Dialog Discourse Parsing With Dynamic Task-Adaptive Graph Transformer and Difficulty-Aware Task Scheduling","display_name":"Enhancing Multiparty Dialog Discourse Parsing With Dynamic Task-Adaptive Graph Transformer and Difficulty-Aware Task Scheduling","publication_year":2025,"publication_date":"2025-05-21","ids":{"openalex":"https://openalex.org/W4410582277","doi":"https://doi.org/10.1109/tnnls.2025.3568211","pmid":"https://pubmed.ncbi.nlm.nih.gov/40397639"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3568211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3568211","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5109373510","display_name":"Yaxin Fan","orcid":"https://orcid.org/0000-0001-6404-4035"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yaxin Fan","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6404-4035","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695549","display_name":"Peifeng Li","orcid":"https://orcid.org/0000-0003-4850-3128"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peifeng Li","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4850-3128","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102803936","display_name":"Fang Kong","orcid":"https://orcid.org/0000-0002-7102-0143"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Kong","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7102-0143","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041805178","display_name":"Qiaoming Zhu","orcid":"https://orcid.org/0000-0002-2708-8976"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoming Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2708-8976","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109373510"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04930854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"9","first_page":"16492","last_page":"16506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9976000189781189,"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/T12031","display_name":"Speech and dialogue systems","score":0.9976000189781189,"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/T10028","display_name":"Topic Modeling","score":0.9735999703407288,"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":0.9391000270843506,"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":0.8134790658950806},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.74080491065979},{"id":"https://openalex.org/keywords/parsing","display_name":"Parsing","score":0.5563358068466187},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.49421098828315735},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4828270375728607},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4242221415042877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40076744556427},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3209611773490906},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1748681664466858},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10986447334289551},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.093319833278656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8134790658950806},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.74080491065979},{"id":"https://openalex.org/C186644900","wikidata":"https://www.wikidata.org/wiki/Q194152","display_name":"Parsing","level":2,"score":0.5563358068466187},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.49421098828315735},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4828270375728607},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4242221415042877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40076744556427},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3209611773490906},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1748681664466858},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10986447334289551},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.093319833278656},{"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":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3568211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3568211","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40397639","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40397639","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G440100422","display_name":null,"funder_award_id":"62276177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7886511599","display_name":null,"funder_award_id":"62376181","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"},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W2117130368","https://openalex.org/W2561158378","https://openalex.org/W2756320212","https://openalex.org/W2809290718","https://openalex.org/W2882319491","https://openalex.org/W2963041453","https://openalex.org/W2963168538","https://openalex.org/W2964319599","https://openalex.org/W2965301120","https://openalex.org/W2966126777","https://openalex.org/W2966182616","https://openalex.org/W2970185413","https://openalex.org/W2998103904","https://openalex.org/W2998702685","https://openalex.org/W3018074695","https://openalex.org/W3094612274","https://openalex.org/W3105038888","https://openalex.org/W3114142294","https://openalex.org/W3142849873","https://openalex.org/W3175020528","https://openalex.org/W3177271673","https://openalex.org/W3187800134","https://openalex.org/W3197606134","https://openalex.org/W3197748303","https://openalex.org/W3206379359","https://openalex.org/W4284702440","https://openalex.org/W4287890142","https://openalex.org/W4309096955","https://openalex.org/W4367628274","https://openalex.org/W4382463665","https://openalex.org/W4384346120","https://openalex.org/W4385245566","https://openalex.org/W4385392747","https://openalex.org/W4385572370","https://openalex.org/W4385572560","https://openalex.org/W4386566497","https://openalex.org/W4386766717","https://openalex.org/W4387541856","https://openalex.org/W4388776291","https://openalex.org/W4389009471","https://openalex.org/W4389519113","https://openalex.org/W4389519916","https://openalex.org/W4389520207","https://openalex.org/W4389523805","https://openalex.org/W4389611170","https://openalex.org/W4389671258","https://openalex.org/W4389982355","https://openalex.org/W4392529948","https://openalex.org/W4393148276","https://openalex.org/W4393161036","https://openalex.org/W4394009970","https://openalex.org/W4396827130","https://openalex.org/W4396902769","https://openalex.org/W4402715008","https://openalex.org/W4402715036","https://openalex.org/W4404781234","https://openalex.org/W4404782694"],"related_works":["https://openalex.org/W2098987383","https://openalex.org/W2417260800","https://openalex.org/W1596203174","https://openalex.org/W2117933979","https://openalex.org/W2283130723","https://openalex.org/W103938586","https://openalex.org/W2104718772","https://openalex.org/W4233992201","https://openalex.org/W1977846844","https://openalex.org/W2368721880"],"abstract_inverted_index":{"Multiparty":[0],"dialog":[1],"discourse":[2,17,28,67,87,90,114,161],"parsing":[3,29,68,91,115],"(MDDP)":[4],"aims":[5],"to":[6,23],"identify":[7],"the":[8,122,149],"links":[9,88,112,124,165,172],"between":[10,113],"pairs":[11],"of":[12,125,152],"utterances":[13],"and":[14,76,116,166,168,173,182,190,193],"recognize":[15],"their":[16,44],"relations.":[18],"Previous":[19],"research":[20],"has":[21],"attempted":[22],"address":[24],"data":[25],"sparsity":[26],"in":[27,186,196],"through":[30],"multitask":[31,63,140],"learning,":[32],"but":[33,92],"these":[34],"efforts":[35],"often":[36],"relied":[37],"on":[38,148,157],"manually":[39],"annotated":[40],"fine-grained":[41],"information,":[42],"limiting":[43],"practical":[45],"applicability.":[46],"In":[47,128],"this":[48],"study,":[49],"we":[50,101,130],"propose":[51],"dynamic":[52,104],"task-adaptive":[53,105],"graph":[54,106],"transformer":[55,107],"with":[56,89],"difficulty-aware":[57,133],"task":[58,134],"scheduling":[59,135],"(DTGT-DTS),":[60],"an":[61],"innovative":[62],"approach":[64],"that":[65,109,138,175],"enhances":[66],"by":[69,142],"leveraging":[70],"neighboring":[71,118,126],"tasks":[72,84,119],"like":[73],"addressee":[74],"recognition":[75],"speaker":[77],"identification,":[78,188],"without":[79],"requiring":[80],"additional":[81],"annotations.":[82],"These":[83],"share":[85],"common":[86],"also":[93],"possess":[94],"distinct":[95],"private":[96,123],"links.":[97],"To":[98],"tackle":[99],"this,":[100],"design":[102],"a":[103,132,180,191],"(DTGT)":[108],"captures":[110],"shared":[111],"its":[117],"while":[120],"distinguishing":[121],"tasks.":[127,154],"addition,":[129],"develop":[131],"(DTS)":[136],"strategy":[137],"promotes":[139],"learning":[141],"dynamically":[143],"adjusting":[144],"training":[145],"priorities":[146],"based":[147],"relative":[150],"difficulty":[151],"different":[153],"Experimental":[155],"results":[156],"two":[158],"widely":[159],"used":[160],"datasets-Molweni":[162],"(78":[163],"245":[164],"relations)":[167],"STAC":[169],"(12":[170],"691":[171],"relations)-show":[174],"our":[176],"DTGT-DTS":[177],"model":[178],"achieves":[179],"6.07%":[181],"5.31%":[183],"performance":[184],"improvement":[185,195],"link":[187],"respectively,":[189],"7.27%":[192],"6.02%":[194],"relation":[197],"recognition.":[198]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}