{"id":"https://openalex.org/W2965718149","doi":"https://doi.org/10.24963/ijcai.2019/721","title":"Exploiting Persona Information for Diverse Generation of Conversational Responses","display_name":"Exploiting Persona Information for Diverse Generation of Conversational Responses","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2965718149","doi":"https://doi.org/10.24963/ijcai.2019/721","mag":"2965718149"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/721","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/721","pdf_url":"https://www.ijcai.org/proceedings/2019/0721.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2019/0721.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044420239","display_name":"Haoyu Song","orcid":"https://orcid.org/0000-0001-5270-9589"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haoyu Song","raw_affiliation_strings":["Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113877202","display_name":"Wei-Nan Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei-Nan Zhang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China","Peng Cheng Laboratory, Shenzhen, China; Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China; Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051107002","display_name":"Yiming Cui","orcid":"https://orcid.org/0000-0002-2452-375X"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Cui","raw_affiliation_strings":["Joint Laboratory of HIT and iFLYTEK (HFL), iFLYTEK Research, Beijing, China","Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Joint Laboratory of HIT and iFLYTEK (HFL), iFLYTEK Research, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391467","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-3597-6260"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["Joint Laboratory of HIT and iFLYTEK (HFL), iFLYTEK Research, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Joint Laboratory of HIT and iFLYTEK (HFL), iFLYTEK Research, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100418120","display_name":"Ting Liu","orcid":"https://orcid.org/0000-0001-8904-8796"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Liu","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China","Peng Cheng Laboratory, Shenzhen, China; Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China; Research Center for Social Computing and Information Retrieval, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I4210136793","https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044420239"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":14.5379,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.99403321,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5190","last_page":"5196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14074","display_name":"Persona Design and Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T14074","display_name":"Persona Design and Applications","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9966999888420105,"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":0.9941999912261963,"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":0.9426618814468384},{"id":"https://openalex.org/keywords/chatbot","display_name":"Chatbot","score":0.840945303440094},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.8285777568817139},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7811204195022583},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6490684747695923},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5983362793922424},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5107476711273193},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5070066452026367},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4715053141117096},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.4364137351512909},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.405938982963562},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3724764585494995},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3258472979068756},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.16232416033744812},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11928611993789673},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.11539927124977112},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.09345436096191406}],"concepts":[{"id":"https://openalex.org/C313442","wikidata":"https://www.wikidata.org/wiki/Q778556","display_name":"Persona","level":2,"score":0.9426618814468384},{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.840945303440094},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8285777568817139},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7811204195022583},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6490684747695923},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5983362793922424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5107476711273193},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5070066452026367},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4715053141117096},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.4364137351512909},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.405938982963562},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3724764585494995},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3258472979068756},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.16232416033744812},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11928611993789673},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.11539927124977112},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.09345436096191406},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/721","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/721","pdf_url":"https://www.ijcai.org/proceedings/2019/0721.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2019/721","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/721","pdf_url":"https://www.ijcai.org/proceedings/2019/0721.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8903434528","display_name":null,"funder_award_id":"61772153","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2965718149.pdf","grobid_xml":"https://content.openalex.org/works/W2965718149.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1591706642","https://openalex.org/W1959608418","https://openalex.org/W2130942839","https://openalex.org/W2131774270","https://openalex.org/W2188365844","https://openalex.org/W2470875822","https://openalex.org/W2565274151","https://openalex.org/W2625977873","https://openalex.org/W2740919303","https://openalex.org/W2889502429","https://openalex.org/W2892260873","https://openalex.org/W2951008357","https://openalex.org/W2962717182","https://openalex.org/W2962883855","https://openalex.org/W2963167310","https://openalex.org/W2963206148","https://openalex.org/W2963223306","https://openalex.org/W2963567641","https://openalex.org/W2963825865","https://openalex.org/W2963903950","https://openalex.org/W2963963856","https://openalex.org/W2964309167","https://openalex.org/W2964352131","https://openalex.org/W2979478117","https://openalex.org/W4375819112"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W4383501580","https://openalex.org/W4214931137","https://openalex.org/W4313813117","https://openalex.org/W4382052417","https://openalex.org/W3192088754","https://openalex.org/W4387007686","https://openalex.org/W3084631705","https://openalex.org/W3176146353","https://openalex.org/W4293646425"],"abstract_inverted_index":{"In":[0,98],"human":[1,86,139],"conversations,":[2,87],"due":[3],"to":[4,24,28,32,93,106,120],"their":[5],"personalities":[6],"in":[7,61,85],"mind,":[8],"people":[9],"can":[10,145],"easily":[11],"carry":[12],"out":[13],"and":[14,35,56,112,123,138,149],"maintain":[15],"the":[16,30,71,128],"conversations.":[17,125],"Giving":[18],"conversational":[19,47],"context":[20,111],"with":[21,70],"persona":[22,54,108],"information":[23,31,55,109],"a":[25,40,75,94,103,114,132],"chatbot,":[26],"how":[27],"exploit":[29,107],"generate":[33,121],"diverse":[34,122,148],"sustainable":[36,124],"conversations":[37],"is":[38,79],"still":[39],"non-trivial":[41],"task.":[42],"Previous":[43],"work":[44],"on":[45,131],"persona-based":[46,152],"models":[48],"successfully":[49],"make":[50],"use":[51],"of":[52],"predefined":[53],"have":[57],"shown":[58],"great":[59],"promise":[60],"delivering":[62],"more":[63,147,150],"realistic":[64],"responses.":[65],"And":[66],"they":[67],"all":[68],"learn":[69],"assumption":[72],"that":[73,142],"given":[74,95],"source":[76],"input,":[77],"there":[78,88],"only":[80],"one":[81],"target":[82],"response.":[83],"However,":[84],"are":[89],"massive":[90],"appropriate":[91],"responses":[92,153],"input":[96],"message.":[97],"this":[99],"paper,":[100],"we":[101],"propose":[102],"memory-augmented":[104],"architecture":[105],"from":[110],"incorporate":[113],"conditional":[115],"variational":[116],"autoencoder":[117],"model":[118,130,144],"together":[119],"We":[126],"evaluate":[127],"proposed":[129],"benchmark":[133],"persona-chat":[134],"dataset.":[135],"Both":[136],"automatic":[137],"evaluations":[140],"show":[141],"our":[143],"deliver":[146],"engaging":[151],"than":[154],"baseline":[155],"approaches.":[156]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":30},{"year":2020,"cited_by_count":23},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
