{"id":"https://openalex.org/W2964587107","doi":"https://doi.org/10.24963/ijcai.2019/683","title":"Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection","display_name":"Generating Multiple Diverse Responses with Multi-Mapping and Posterior Mapping Selection","publication_year":2019,"publication_date":"2019-07-28","ids":{"openalex":"https://openalex.org/W2964587107","doi":"https://doi.org/10.24963/ijcai.2019/683","mag":"2964587107"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2019/683","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/683","pdf_url":"https://www.ijcai.org/proceedings/2019/0683.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/2019/0683.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084750747","display_name":"Chaotao Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chaotao Chen","raw_affiliation_strings":["Baidu Inc., China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021416216","display_name":"Jinhua Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhua Peng","raw_affiliation_strings":["Baidu Inc., China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011857394","display_name":"Fan Wang","orcid":"https://orcid.org/0000-0001-5788-0334"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wang","raw_affiliation_strings":["Baidu Inc., China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., China","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020766468","display_name":"Jun Xu","orcid":"https://orcid.org/0000-0001-7170-111X"},"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":"Jun Xu","raw_affiliation_strings":["Harbin Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100677198","display_name":"Hua Wu","orcid":"https://orcid.org/0000-0002-5687-7800"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Wu","raw_affiliation_strings":["Baidu Inc., China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5084750747"],"corresponding_institution_ids":["https://openalex.org/I98301712"],"apc_list":null,"apc_paid":null,"fwci":3.7804,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.94743413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4918","last_page":"4924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9998000264167786,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9997000098228455,"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/computer-science","display_name":"Computer science","score":0.8016188740730286},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7292494177818298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5589950084686279},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5165120959281921},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.45724841952323914},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3487488627433777}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8016188740730286},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7292494177818298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5589950084686279},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5165120959281921},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.45724841952323914},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3487488627433777}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2019/683","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/683","pdf_url":"https://www.ijcai.org/proceedings/2019/0683.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.2019/683","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2019/683","pdf_url":"https://www.ijcai.org/proceedings/2019/0683.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":[],"funders":[{"id":"https://openalex.org/F4320318547","display_name":"Baidu","ror":"https://ror.org/03vs3wt56"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964587107.pdf","grobid_xml":"https://content.openalex.org/works/W2964587107.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2130942839","https://openalex.org/W2133012565","https://openalex.org/W2133564696","https://openalex.org/W2143177362","https://openalex.org/W2157331557","https://openalex.org/W2250539671","https://openalex.org/W2547875792","https://openalex.org/W2557436004","https://openalex.org/W2604444020","https://openalex.org/W2788932366","https://openalex.org/W2798888952","https://openalex.org/W2799037524","https://openalex.org/W2807873315","https://openalex.org/W2807880213","https://openalex.org/W2808293489","https://openalex.org/W2884970917","https://openalex.org/W2962717182","https://openalex.org/W2963206148","https://openalex.org/W2963223306","https://openalex.org/W2963270153","https://openalex.org/W2963330684","https://openalex.org/W2963903950","https://openalex.org/W2963939249","https://openalex.org/W2963963856","https://openalex.org/W3022187094"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"In":[0,57],"human":[1],"conversation":[2],"an":[3,86,123],"input":[4,87],"post":[5,88],"is":[6,13,104],"open":[7],"to":[8,27,41,65,80,89,106,113,127],"multiple":[9,24,72,145],"potential":[10],"responses,":[11],"which":[12],"typically":[14],"regarded":[15],"as":[16,77],"a":[17,51,62,99],"one-to-many":[18,30,69],"problem.":[19],"Promising":[20],"approaches":[21],"mainly":[22],"incorporate":[23],"latent":[25,38,55,78,97],"mechanisms":[26,79],"build":[28],"the":[29,37,42,68,82,108,114,129,138,151],"relationship.":[31],"However,":[32],"without":[33],"accurate":[34,94],"selection":[35,102],"of":[36,54,96,131,140],"mechanism":[39,64],"corresponding":[40,109],"target":[43,115],"response":[44,116],"during":[45],"training,":[46],"these":[47],"methods":[48],"suffer":[49],"from":[50,85],"rough":[52],"optimization":[53,95,130],"mechanisms.":[56],"this":[58],"paper,":[59],"we":[60],"propose":[61],"multi-mapping":[63],"better":[66],"capture":[67],"relationship,":[70],"where":[71],"mapping":[73,101,110,133],"modules":[74],"are":[75],"employed":[76],"model":[81,142],"semantic":[83],"mappings":[84],"its":[90],"diverse":[91,146],"responses.":[92],"For":[93],"mechanisms,":[98],"posterior":[100,132],"module":[103,111],"designed":[105],"select":[107],"according":[112],"for":[117],"further":[118],"optimization.":[119],"We":[120],"also":[121],"introduce":[122],"auxiliary":[124],"matching":[125],"loss":[126],"facilitate":[128],"selection.":[134],"Empirical":[135],"results":[136],"demonstrate":[137],"superiority":[139],"our":[141],"in":[143],"generating":[144],"and":[147],"informative":[148],"responses":[149],"over":[150],"state-of-the-art":[152],"methods.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
