{"id":"https://openalex.org/W7127087597","doi":"https://doi.org/10.31449/inf.v50i5.10324","title":"Dynamic BERT-Reinforcement Learning Model for Intent Recognition in Medical Dialogue Systems","display_name":"Dynamic BERT-Reinforcement Learning Model for Intent Recognition in Medical Dialogue Systems","publication_year":2026,"publication_date":"2026-02-02","ids":{"openalex":"https://openalex.org/W7127087597","doi":"https://doi.org/10.31449/inf.v50i5.10324"},"language":"en","primary_location":{"id":"doi:10.31449/inf.v50i5.10324","doi":"https://doi.org/10.31449/inf.v50i5.10324","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i5.10324","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/10324/6420","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","ddh","jufo-1","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W7127087597"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/10324/6420","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124825900","display_name":"Chunjun Cheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunjun Cheng","raw_affiliation_strings":["Jinzhou Medical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinzhou Medical University","institution_ids":["https://openalex.org/I85430964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124774700","display_name":"Shui Cao","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shui Cao","raw_affiliation_strings":["College of Medical Humanities , Jinzhou Medical University , Jinzhou 121000 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Medical Humanities , Jinzhou Medical University , Jinzhou 121000 , China","institution_ids":["https://openalex.org/I85430964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5159833588","display_name":"Guangyan Tang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405282232","display_name":"Jinzhou Normal College","ror":"https://ror.org/05h7z7423","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405282232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyan Tang","raw_affiliation_strings":["Jinzhou Normal College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinzhou Normal College","institution_ids":["https://openalex.org/I4405282232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124835155","display_name":"Fang Ma","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405282232","display_name":"Jinzhou Normal College","ror":"https://ror.org/05h7z7423","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405282232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Ma","raw_affiliation_strings":["Jinzhou Normal College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jinzhou Normal College","institution_ids":["https://openalex.org/I4405282232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124816311","display_name":"Di Cui","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I85430964","display_name":"Jinzhou Medical University","ror":"https://ror.org/02yd1yr68","country_code":"CN","type":"education","lineage":["https://openalex.org/I85430964"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Cui","raw_affiliation_strings":["The First Affiliated Hospital of Jinzhou Medical University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital of Jinzhou Medical University","institution_ids":["https://openalex.org/I85430964"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3951,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.80881696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"50","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9980000257492065,"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":0.9980000257492065,"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":9.999999747378752e-05,"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/T12128","display_name":"AI in Service Interactions","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/medical-dialogue-systems","display_name":"medical dialogue systems","score":0.8949999809265137},{"id":"https://openalex.org/keywords/intent-recognition","display_name":"intent classification","score":0.8610000014305115},{"id":"https://openalex.org/keywords/bert","display_name":"BERT","score":0.8579999804496765},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.9760000109672546},{"id":"https://openalex.org/keywords/multi-turn-dialogue","display_name":"multi-turn dialogue","score":0.8080000281333923},{"id":"https://openalex.org/keywords/reward-function-design","display_name":"reward function design","score":0.921999990940094},{"id":"https://openalex.org/keywords/policy-optimization","display_name":"policy optimization","score":0.6909999847412109},{"id":"https://openalex.org/keywords/state-modeling","display_name":"state-based modeling","score":0.5720000267028809},{"id":"https://openalex.org/keywords/chatbots","display_name":"chatbots","score":0.47699999809265137}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.9104999899864197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7378000020980835},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6868000030517578},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.6812999844551086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6460999846458435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46970000863075256},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.38359999656677246},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.37560001015663147},{"id":"https://openalex.org/C196340769","wikidata":"https://www.wikidata.org/wiki/Q7698910","display_name":"Temporal difference learning","level":3,"score":0.361299991607666},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.3077000081539154},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C2993312423","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medical practice","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.26570001244544983},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25690001249313354},{"id":"https://openalex.org/C77405623","wikidata":"https://www.wikidata.org/wiki/Q598451","display_name":"System dynamics","level":2,"score":0.2554999887943268}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.31449/inf.v50i5.10324","doi":"https://doi.org/10.31449/inf.v50i5.10324","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i5.10324","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/10324/6420","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","ddh","jufo-1","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},{"id":"pmh:oai:neshe.ijs.si:article/10324","doi":null,"is_oa":true,"landing_page_url":"https://www.informatica.si/index.php/index/article/view/10324","pdf_url":null,"source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","ddh","jufo-1","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"0350-5596","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.31449/inf.v50i5.10324","doi":"https://doi.org/10.31449/inf.v50i5.10324","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i5.10324","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/10324/6420","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","ddh","jufo-1","norway-1","poland-20"],"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4043000042438507,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7127087597.pdf","grobid_xml":"https://content.openalex.org/works/W7127087597.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W4389978636","https://openalex.org/W4394789421","https://openalex.org/W4394987794","https://openalex.org/W4395024288","https://openalex.org/W4399284655","https://openalex.org/W4399420788","https://openalex.org/W4400977996","https://openalex.org/W4401217351","https://openalex.org/W4401268752","https://openalex.org/W4402512745","https://openalex.org/W4403454040","https://openalex.org/W4403845213","https://openalex.org/W4403929529","https://openalex.org/W4403998111","https://openalex.org/W4404092246","https://openalex.org/W4404301041","https://openalex.org/W4404641739","https://openalex.org/W4405266090","https://openalex.org/W4405614070","https://openalex.org/W4406123859","https://openalex.org/W4406187463","https://openalex.org/W4407727647","https://openalex.org/W4407836691","https://openalex.org/W4409385694","https://openalex.org/W4409598165","https://openalex.org/W4410109416","https://openalex.org/W4410195323","https://openalex.org/W4410252920","https://openalex.org/W4410252932","https://openalex.org/W4410253332"],"related_works":["https://openalex.org/W4301373700","https://openalex.org/W4386266988","https://openalex.org/W7147305668","https://openalex.org/W4312962539","https://openalex.org/W4327500896","https://openalex.org/W4310552918","https://openalex.org/W4404019813","https://openalex.org/W4416799415","https://openalex.org/W4411369085","https://openalex.org/W4392890145"],"abstract_inverted_index":{"This":[0,149],"study":[1],"proposes":[2],"a":[3,132,203],"dynamic":[4,63,80,106,260],"reasoning":[5,82,269],"model":[6,42,102,116,130,208,245],"of":[7,28,62,100,121,156,170,196,229],"medical":[8,36,69,107,190,272],"dialogue":[9,108,273],"intentions":[10,34],"that":[11,155],"integrates":[12],"BERT":[13,41,247],"and":[14,31,55,78,83,91,105,180,184,213,223,235,248,266],"reinforcement":[15,75,172,249],"learning,":[16],"aiming":[17],"to":[18,143,174,176],"solve":[19],"the":[20,39,60,98,128,140,146,157,168,193,207,218,244],"recognition":[21,113,136],"difficulties":[22],"caused":[23],"by":[24],"complex":[25,104],"multiple":[26],"rounds":[27],"interaction":[29],"contexts":[30],"changeable":[32],"user":[33,178],"in":[35,45,59,65,68,103,124,135,139,145,188],"scenarios.":[37,109],"Although":[38],"traditional":[40],"is":[43],"excellent":[44],"semantic":[46,254],"modeling,":[47,88],"it":[48],"has":[49],"limitations":[50],"such":[51],"as":[52],"poor":[53],"adaptability":[54],"static":[56],"response":[57],"strategy":[58,261],"face":[61],"changes":[64],"intention":[66,81],"expression":[67],"dialogue.":[70],"Therefore,":[71],"this":[72],"paper":[73],"introduces":[74],"learning":[76,173,250],"mechanism,":[77],"realizes":[79,259],"policy":[84,92],"optimization":[85],"through":[86],"state":[87],"reward":[89,197,200],"function":[90],"network.":[93],"The":[94],"experimental":[95],"results":[96],"highlight":[97],"robustness":[99],"our":[101,115],"In":[110,192],"high-complexity":[111],"intent":[112],"tasks,":[114],"achieved":[117,161],"an":[118,226,264],"accuracy":[119,227],"improvement":[120],"8.5%.":[122],"Moreover,":[123],"extended":[125],"multi-round":[126],"dialogues,":[127],"BRL":[129],"demonstrated":[131],"significant":[133,204],"increase":[134],"accuracy\u2014from":[137],"32%":[138],"70th":[141],"round":[142],"60%":[144],"140th":[147],"round.":[148],"performance":[150],"was":[151],"notably":[152],"better":[153],"than":[154,231],"BLN":[158],"model,":[159],"which":[160],"about":[162],"40%":[163],"accuracy.":[164],"These":[165],"improvements":[166],"underscore":[167],"effectiveness":[169],"integrating":[171],"adapt":[175],"evolving":[177],"intents":[179],"provide":[181],"more":[182,230],"accurate":[183],"contextually":[185],"relevant":[186],"responses":[187],"long-duration":[189],"dialogues.":[191],"sensitivity":[194],"analysis":[195],"function,":[198],"different":[199],"functions":[201],"have":[202],"impact":[205],"on":[206],"performance.":[209],"Among":[210],"them,":[211],"RWA":[212],"RWF":[214],"perform":[215],"best":[216],"when":[217],"weight":[219],"numbers":[220],"are":[221,237],"2":[222],"4,":[224],"with":[225],"rate":[228],"70%,":[232],"while":[233],"RWN":[234],"RWS":[236],"often":[238],"below":[239],"40%.":[240],"To":[241],"sum":[242],"up,":[243],"combining":[246],"not":[251],"only":[252],"improves":[253],"understanding":[255],"capabilities,":[256],"but":[257],"also":[258],"adaptation,":[262],"providing":[263],"efficient":[265],"intelligent":[267],"intentional":[268],"solution":[270],"for":[271],"systems.":[274]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2026-02-03T00:00:00"}