{"id":"https://openalex.org/W4414856516","doi":"https://doi.org/10.1109/tce.2025.3618328","title":"Multi-View Knowledge Retrieval With a New Memory Tracking Mechanism for Task-Oriented Dialogue","display_name":"Multi-View Knowledge Retrieval With a New Memory Tracking Mechanism for Task-Oriented Dialogue","publication_year":2025,"publication_date":"2025-10-06","ids":{"openalex":"https://openalex.org/W4414856516","doi":"https://doi.org/10.1109/tce.2025.3618328"},"language":"en","primary_location":{"id":"doi:10.1109/tce.2025.3618328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3618328","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"},"type":"article","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":null,"display_name":"Jiale Chen","orcid":"https://orcid.org/0009-0005-7489-2421"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiale Chen","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0005-7489-2421","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101708486","display_name":"Xuelian Dong","orcid":"https://orcid.org/0000-0002-1918-8977"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelian Dong","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0009-0007-0472-5032","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112990023","display_name":"Shunhao Li","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunhao Li","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088263100","display_name":"Heng Weng","orcid":"https://orcid.org/0000-0002-5203-8663"},"institutions":[{"id":"https://openalex.org/I117532281","display_name":"Guangzhou University of Chinese Medicine","ror":"https://ror.org/03qb7bg95","country_code":"CN","type":"education","lineage":["https://openalex.org/I117532281"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Heng Weng","raw_affiliation_strings":["State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5203-8663","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China","institution_ids":["https://openalex.org/I117532281"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080646275","display_name":"Tianyong Hao","orcid":"https://orcid.org/0000-0002-9792-3949"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyong Hao","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9792-3949","affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09432189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"72","issue":"2","first_page":"3557","last_page":"3565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9794999957084656,"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":0.9794999957084656,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9629999995231628,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9398000240325928,"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/knowledge-graph","display_name":"Knowledge graph","score":0.710099995136261},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5353999733924866},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.4982999861240387},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4438999891281128},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4221999943256378},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.41920000314712524},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.40529999136924744},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.38670000433921814},{"id":"https://openalex.org/keywords/natural-language-understanding","display_name":"Natural language understanding","score":0.35929998755455017}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8224999904632568},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.710099995136261},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5353999733924866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5097000002861023},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.4982999861240387},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4221999943256378},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.41920000314712524},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.40529999136924744},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.38670000433921814},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.35929998755455017},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3458999991416931},{"id":"https://openalex.org/C16311509","wikidata":"https://www.wikidata.org/wiki/Q4148050","display_name":"Dependency graph","level":3,"score":0.3416999876499176},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33399999141693115},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3246999979019165},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C234837","wikidata":"https://www.wikidata.org/wiki/Q1420493","display_name":"Conceptual graph","level":3,"score":0.3125},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.30399999022483826},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.3019999861717224},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2992999851703644},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.28529998660087585},{"id":"https://openalex.org/C558772884","wikidata":"https://www.wikidata.org/wiki/Q1508564","display_name":"Graph rewriting","level":3,"score":0.28200000524520874},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C84685590","wikidata":"https://www.wikidata.org/wiki/Q1540472","display_name":"Knowledge engineering","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2745000123977661},{"id":"https://openalex.org/C2780613888","wikidata":"https://www.wikidata.org/wiki/Q6423394","display_name":"Knowledge retrieval","level":3,"score":0.2653999924659729},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tce.2025.3618328","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tce.2025.3618328","pdf_url":null,"source":{"id":"https://openalex.org/S126824455","display_name":"IEEE Transactions on Consumer Electronics","issn_l":"0098-3063","issn":["0098-3063","1558-4127"],"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 Consumer Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3224267913","display_name":null,"funder_award_id":"62372189","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3815167050","display_name":null,"funder_award_id":"2021A1515220137","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G4617246548","display_name":null,"funder_award_id":"2024A1111120004","funder_id":"https://openalex.org/F4320336627","funder_display_name":"Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province"},{"id":"https://openalex.org/G7315383668","display_name":null,"funder_award_id":"2023YFC3502900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320336627","display_name":"Special Fund Project for Science and Technology Innovation Strategy of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W2101105183","https://openalex.org/W2896457183","https://openalex.org/W2962985038","https://openalex.org/W2963491014","https://openalex.org/W2963789888","https://openalex.org/W2963797754","https://openalex.org/W2964006684","https://openalex.org/W2964165364","https://openalex.org/W2965373594","https://openalex.org/W3015700086","https://openalex.org/W3035301094","https://openalex.org/W3094083263","https://openalex.org/W3099453223","https://openalex.org/W3099700870","https://openalex.org/W3100110884","https://openalex.org/W3161207330","https://openalex.org/W3173362020","https://openalex.org/W3175646721","https://openalex.org/W3197574297","https://openalex.org/W4283798001","https://openalex.org/W4287889327","https://openalex.org/W4294974598","https://openalex.org/W4367146875","https://openalex.org/W4385570710","https://openalex.org/W4385570744","https://openalex.org/W4385626993","https://openalex.org/W4388207110","https://openalex.org/W4388820213","https://openalex.org/W4388974450","https://openalex.org/W4391936063","https://openalex.org/W4392901645","https://openalex.org/W4393147165","https://openalex.org/W4393160471","https://openalex.org/W4402352233","https://openalex.org/W4402702205","https://openalex.org/W4408352642","https://openalex.org/W4412888352"],"related_works":[],"abstract_inverted_index":{"Task-oriented":[0],"dialogue":[1,49,102],"systems":[2,25],"have":[3],"gained":[4],"considerable":[5],"attention":[6],"for":[7,36],"their":[8],"capability":[9],"to":[10,48,53,80,100,130],"accomplish":[11],"various":[12],"tasks":[13],"that":[14,155],"satisfy":[15],"user":[16],"requirements":[17],"using":[18],"natural":[19],"language.":[20],"The":[21],"essence":[22],"of":[23,29,43,56,74,84,163,175],"the":[24,27,41,54,82,88,101,104,111,169,172,176,180],"is":[26,128],"retrieval":[28],"pertinent":[30],"knowledge":[31,34,46,85,108,122,136,143],"from":[32,70,145],"external":[33],"bases":[35],"generating":[37],"informative":[38],"responses.":[39,58],"However,":[40],"difficulty":[42],"accurately":[44],"retrieving":[45,142],"according":[47],"context":[50],"frequently":[51],"leads":[52],"generation":[55],"sub-optimal":[57],"To":[59],"tackle":[60],"this":[61,63],"issue,":[62],"paper":[64],"proposes":[65],"a":[66,92,124],"multi-view":[67,89,177],"retriever":[68,90,178],"(MUER)":[69],"two":[71],"different":[72],"aspects":[73],"graph":[75,93,105],"view":[76,79],"and":[77,95,110,132,166,179],"edge":[78,97,112],"enhance":[81],"performance":[83,160],"retrieval.":[86],"Specifically,":[87],"includes":[91],"selector":[94,106],"an":[96],"pruner.":[98],"According":[99],"context,":[103],"selects":[107],"graphs":[109,144],"pruner":[113],"prune":[114],"irrelevant":[115],"edges":[116],"within":[117],"these":[118],"graphs.":[119],"For":[120],"consistent":[121],"retrieval,":[123],"memory":[125,181],"tracking":[126,182],"mechanism":[127,183],"proposed":[129],"integrate":[131],"manage":[133],"recently":[134],"accessed":[135],"graphs,":[137],"reducing":[138],"computations":[139],"by":[140],"swiftly":[141],"historical":[146],"interactions.":[147],"Experiment":[148],"results":[149,170],"on":[150],"three":[151],"public":[152],"benchmarks":[153],"show":[154],"our":[156],"MUER":[157],"achieves":[158],"superior":[159],"in":[161,184],"terms":[162],"both":[164],"accuracy":[165],"consistently.":[167],"Moreover,":[168],"demonstrate":[171],"promising":[173],"adaptability":[174],"incorporating":[185],"into":[186],"large":[187],"language":[188],"models.":[189]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}