{"id":"https://openalex.org/W2963939249","doi":"https://doi.org/10.1609/aaai.v33i01.33016383","title":"Generating Multiple Diverse Responses for Short-Text Conversation","display_name":"Generating Multiple Diverse Responses for Short-Text Conversation","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2963939249","doi":"https://doi.org/10.1609/aaai.v33i01.33016383","mag":"2963939249"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33016383","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016383","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4601/4479","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4601/4479","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100776555","display_name":"Jun Gao","orcid":"https://orcid.org/0000-0002-6750-8496"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jun Gao","raw_affiliation_strings":["Soochow University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101671513","display_name":"Wei Bi","orcid":"https://orcid.org/0000-0002-0308-4217"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Bi","raw_affiliation_strings":["Tencent AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103011124","display_name":"Xiaojiang Liu","orcid":"https://orcid.org/0009-0005-8896-9151"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojiang Liu","raw_affiliation_strings":["Tencent AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100369260","display_name":"Junhui Li","orcid":"https://orcid.org/0000-0001-7829-6348"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junhui Li","raw_affiliation_strings":["Soochow University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soochow University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087920747","display_name":"Shuming Shi","orcid":"https://orcid.org/0000-0001-7018-0682"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuming Shi","raw_affiliation_strings":["Tencent AI Lab"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tencent AI Lab","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":"01","first_page":"6383","last_page":"6390"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9804999828338623,"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/T11309","display_name":"Music and Audio Processing","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/conversation","display_name":"Conversation","score":0.8979114294052124},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.786231517791748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7608953714370728},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6490594148635864},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6403360962867737},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6367994546890259},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.6021095514297485},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6012963652610779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5485473871231079},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.42031237483024597},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4185165762901306},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.41584163904190063},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39549028873443604},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11368629336357117},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.0847216546535492},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0612756609916687}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.8979114294052124},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.786231517791748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7608953714370728},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6490594148635864},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6403360962867737},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6367994546890259},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.6021095514297485},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6012963652610779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5485473871231079},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.42031237483024597},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4185165762901306},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.41584163904190063},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39549028873443604},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11368629336357117},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.0847216546535492},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0612756609916687},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33016383","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016383","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4601/4479","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4601","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33016383","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33016383","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4601/4479","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6600000262260437}],"awards":[{"id":"https://openalex.org/G5678221373","display_name":null,"funder_award_id":"61876120","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/W2963939249.pdf","grobid_xml":"https://content.openalex.org/works/W2963939249.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1518951372","https://openalex.org/W1591706642","https://openalex.org/W1614298861","https://openalex.org/W1958706068","https://openalex.org/W2119717200","https://openalex.org/W2133564696","https://openalex.org/W2159640018","https://openalex.org/W2328886022","https://openalex.org/W2515741950","https://openalex.org/W2557436004","https://openalex.org/W2581637843","https://openalex.org/W2583741591","https://openalex.org/W2604444020","https://openalex.org/W2605246398","https://openalex.org/W2611714756","https://openalex.org/W2619275098","https://openalex.org/W2753215597","https://openalex.org/W2757121784","https://openalex.org/W2788932366","https://openalex.org/W2798970679","https://openalex.org/W2962717182","https://openalex.org/W2962953307","https://openalex.org/W2963134326","https://openalex.org/W2963167310","https://openalex.org/W2963411289","https://openalex.org/W2963903950","https://openalex.org/W2963958388","https://openalex.org/W2963963856","https://openalex.org/W4230563027","https://openalex.org/W4307979480","https://openalex.org/W6601893370","https://openalex.org/W6714618025","https://openalex.org/W6732564789","https://openalex.org/W6738601716","https://openalex.org/W6746055214","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W4387506531","https://openalex.org/W3174044702","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4283803360","https://openalex.org/W4317695495"],"abstract_inverted_index":{"Neural":[0],"generative":[1,139],"models":[2],"have":[3],"become":[4],"popular":[5],"and":[6,56,74,98,132],"achieved":[7],"promising":[8],"performance":[9],"on":[10,47,52,115],"short-text":[11,117],"conversation":[12,118],"tasks.":[13],"They":[14],"are":[15],"generally":[16],"trained":[17],"to":[18,27,110],"build":[19],"a":[20,32,86,93],"1-to-1":[21],"mapping":[22],"from":[23],"the":[24,54,59,78,122],"input":[25],"post":[26,34],"its":[28],"output":[29],"response.":[30],"However,":[31],"given":[33],"is":[35,108],"often":[36],"associated":[37],"with":[38,136],"multiple":[39,72,100,123],"replies":[40],"simultaneously":[41],"in":[42],"real":[43],"applications.":[44],"Previous":[45],"research":[46],"this":[48,82],"task":[49],"mainly":[50],"focuses":[51],"improving":[53],"relevance":[55],"informativeness":[57],"of":[58,95],"top":[60],"one":[61],"generated":[62,125],"response":[63,88],"for":[64,77],"each":[65],"post.":[66,80],"Very":[67],"few":[68],"works":[69],"study":[70],"generating":[71],"accurate":[73],"diverse":[75,101],"responses":[76,96,102,124],"same":[79],"In":[81],"paper,":[83],"we":[84],"propose":[85],"novel":[87],"generation":[89],"model,":[90],"which":[91],"considers":[92],"set":[94],"jointly":[97],"generates":[99],"simultaneously.":[103],"A":[104],"reinforcement":[105],"learning":[106],"algorithm":[107],"designed":[109],"solve":[111],"our":[112,127],"model.":[113],"Experiments":[114],"two":[116],"tasks":[119],"validate":[120],"that":[121],"by":[126],"model":[128],"obtain":[129],"higher":[130],"quality":[131],"larger":[133],"diversity":[134],"compared":[135],"various":[137],"state-ofthe-art":[138],"models.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":11}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
