{"id":"https://openalex.org/W3197606134","doi":"https://doi.org/10.1109/tnnls.2021.3105584","title":"A Novel Two-Stage Generation Framework for Promoting the Persona-Consistency and Diversity of Responses in Neural Dialog Systems","display_name":"A Novel Two-Stage Generation Framework for Promoting the Persona-Consistency and Diversity of Responses in Neural Dialog Systems","publication_year":2021,"publication_date":"2021-08-30","ids":{"openalex":"https://openalex.org/W3197606134","doi":"https://doi.org/10.1109/tnnls.2021.3105584","mag":"3197606134","pmid":"https://pubmed.ncbi.nlm.nih.gov/34460398"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3105584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3105584","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/A5008355389","display_name":"Tianyuan Shi","orcid":"https://orcid.org/0000-0002-6187-2553"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianyuan Shi","raw_affiliation_strings":["Mihoyo, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6187-2553","affiliations":[{"raw_affiliation_string":"Mihoyo, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035337020","display_name":"Yongduan Song","orcid":"https://orcid.org/0000-0002-2167-1861"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongduan Song","raw_affiliation_strings":["State Key Laboratory of Power Transmission Equipment System Security and New Technology, the Chongqing Key Laboratory of Intelligent Unmanned Systems, School of Automation, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-2167-1861","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Power Transmission Equipment System Security and New Technology, the Chongqing Key Laboratory of Intelligent Unmanned Systems, School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9102,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79824439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"34","issue":"3","first_page":"1552","last_page":"1562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9921000003814697,"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":0.9866999983787537,"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/persona","display_name":"Persona","score":0.8153884410858154},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.7591331601142883},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6787155270576477},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6304707527160645},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6219625473022461},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5313972234725952},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49055784940719604},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40208759903907776},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3163735866546631},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.29029643535614014},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.11644843220710754}],"concepts":[{"id":"https://openalex.org/C313442","wikidata":"https://www.wikidata.org/wiki/Q778556","display_name":"Persona","level":2,"score":0.8153884410858154},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.7591331601142883},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6787155270576477},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6304707527160645},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6219625473022461},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5313972234725952},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49055784940719604},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40208759903907776},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3163735866546631},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.29029643535614014},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.11644843220710754}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3105584","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3105584","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:34460398","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34460398","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/G3601955901","display_name":"\u9762\u5411\u68ee\u6797\u73af\u5883\u76d1\u6d4b\u7684\u81ea\u4e3b\u9ad8\u53ef\u9760\u591a\u65e0\u4eba\u673a\u7cfb\u7edf\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61833013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3713508235","display_name":"\u52a8\u6001\u73af\u5883\u4e0b\u7684\u65e0\u4eba\u7cfb\u7edf\u5148\u8fdb\u63a7\u5236\u7406\u8bba\u53ca\u81ea\u4e3b\u534f\u4f5c\u7b56\u7565\u7814\u7a76","funder_award_id":"61933012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6248645078","display_name":null,"funder_award_id":"61860206008","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6487918314","display_name":null,"funder_award_id":"61773081","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":43,"referenced_works":["https://openalex.org/W1591706642","https://openalex.org/W1959608418","https://openalex.org/W2581637843","https://openalex.org/W2625977873","https://openalex.org/W2741323980","https://openalex.org/W2756487349","https://openalex.org/W2765617518","https://openalex.org/W2885421725","https://openalex.org/W2890276793","https://openalex.org/W2896457183","https://openalex.org/W2913218482","https://openalex.org/W2962717182","https://openalex.org/W2962776342","https://openalex.org/W2962989446","https://openalex.org/W2963206148","https://openalex.org/W2963223306","https://openalex.org/W2963371754","https://openalex.org/W2963521540","https://openalex.org/W2963567641","https://openalex.org/W2963825865","https://openalex.org/W2963963856","https://openalex.org/W2964352131","https://openalex.org/W2965718149","https://openalex.org/W2979478117","https://openalex.org/W2997662139","https://openalex.org/W3015322406","https://openalex.org/W3022187094","https://openalex.org/W3034720580","https://openalex.org/W3088653102","https://openalex.org/W3098774588","https://openalex.org/W3099865390","https://openalex.org/W3168988646","https://openalex.org/W6635590879","https://openalex.org/W6640842352","https://openalex.org/W6640963894","https://openalex.org/W6679436768","https://openalex.org/W6687045409","https://openalex.org/W6688384872","https://openalex.org/W6739102401","https://openalex.org/W6745537681","https://openalex.org/W6755007375","https://openalex.org/W6755207826","https://openalex.org/W6756426341"],"related_works":["https://openalex.org/W2098987383","https://openalex.org/W3013693939","https://openalex.org/W2417260800","https://openalex.org/W2566616303","https://openalex.org/W1596203174","https://openalex.org/W2159052453","https://openalex.org/W3092070261","https://openalex.org/W4287645278","https://openalex.org/W3133119467","https://openalex.org/W4287801571"],"abstract_inverted_index":{"Although":[0],"quite":[1],"natural":[2],"for":[3,20,141],"human":[4],"beings":[5],"to":[6,24,37,78,99,120,125,158,171,184],"communicate":[7],"based":[8],"on":[9,54],"their":[10],"own":[11],"personality":[12],"in":[13,130,163],"daily":[14],"life,":[15],"it":[16,136,170],"is":[17,29,113,182],"rather":[18],"challenging":[19],"neural":[21],"dialog":[22,33,118],"systems":[23,34],"do":[25],"the":[26,31,43,65,80,87,104,122,127,131,145,154,160,164,179],"same.":[27],"This":[28],"because":[30],"general":[32,110],"are":[35],"difficult":[36],"generate":[38,100,185],"diverse":[39,101,186],"responses":[40],"while":[41],"at":[42],"same":[44],"time":[45],"maintaining":[46],"consistent":[47],"persona":[48],"information.":[49],"Existing":[50],"methods":[51],"basically":[52],"focus":[53],"merely":[55],"one":[56],"of":[57,61,67,84],"them,":[58],"ignoring":[59],"either":[60],"them":[62],"will":[63],"reduce":[64],"quality":[66],"dialog.":[68],"In":[69,86,144],"this":[70],"work,":[71],"we":[72,90,115,148],"propose":[73,91],"a":[74,92,138],"two-stage":[75],"generation":[76],"framework":[77],"promote":[79],"persona-consistency":[81,150],"and":[82,103,133,153,168,187],"diversity":[83],"responses.":[85,189],"first":[88],"stage,":[89,147],"persona-guided":[93],"conditional":[94],"variational":[95],"autoencoder":[96],"(persona-guided":[97],"CVAE)":[98],"responses,":[102],"main":[105],"difference":[106],"when":[107],"compared":[108],"with":[109],"CVAE-based":[111],"model":[112,181],"that":[114,178],"use":[116,135],"additional":[117],"attribute":[119],"assist":[121],"latent":[123],"variables":[124],"encode":[126],"effective":[128],"information":[129],"response":[132,142,155,166],"further":[134],"as":[137],"guiding":[139],"vector":[140],"generation.":[143],"second":[146],"employ":[149],"checking":[151],"module":[152,157],"rewriting":[156],"mask":[159],"inconsistent":[161],"word":[162],"generated":[165],"prototype":[167],"rewrite":[169],"more":[172],"consistent.":[173],"Automatic":[174],"evaluation":[175],"results":[176],"demonstrate":[177],"proposed":[180],"able":[183],"persona-consistent":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}
