{"id":"https://openalex.org/W2789033601","doi":"https://doi.org/10.1145/3178876.3186077","title":"Hierarchical Variational Memory Network for Dialogue Generation","display_name":"Hierarchical Variational Memory Network for Dialogue Generation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2789033601","doi":"https://doi.org/10.1145/3178876.3186077","mag":"2789033601"},"language":"en","primary_location":{"id":"doi:10.1145/3178876.3186077","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186077","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186077&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3186077&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102966812","display_name":"Hongshen Chen","orcid":"https://orcid.org/0000-0002-9164-2898"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongshen Chen","raw_affiliation_strings":["JD.com, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100384130","display_name":"Zhaochun Ren","orcid":"https://orcid.org/0000-0002-9076-6565"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaochun Ren","raw_affiliation_strings":["JD.com, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100880487","display_name":"Yihong Eric Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yihong Eric Zhao","raw_affiliation_strings":["JD.com, Beijing, CA, China"],"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, CA, China","institution_ids":["https://openalex.org/I4210103986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054482111","display_name":"Dawei Yin","orcid":"https://orcid.org/0000-0002-8846-2001"},"institutions":[{"id":"https://openalex.org/I4210103986","display_name":"Jingdong (China)","ror":"https://ror.org/01dkjkq64","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210103986"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Yin","raw_affiliation_strings":["JD.com, Beijing, China"],"affiliations":[{"raw_affiliation_string":"JD.com, Beijing, China","institution_ids":["https://openalex.org/I4210103986"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102966812"],"corresponding_institution_ids":["https://openalex.org/I4210103986"],"apc_list":null,"apc_paid":null,"fwci":9.9851,"has_fulltext":true,"cited_by_count":81,"citation_normalized_percentile":{"value":0.98393205,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1653","last_page":"1662"},"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":0.9988999962806702,"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":0.8525749444961548},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.6162813305854797},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6140787601470947},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5721777677536011},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5479233264923096},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5442950129508972},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5418873429298401},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.48119503259658813},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4154937267303467},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4104892611503601},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.36115020513534546},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.334977924823761},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1674247682094574}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8525749444961548},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.6162813305854797},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6140787601470947},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5721777677536011},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5479233264923096},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5442950129508972},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5418873429298401},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.48119503259658813},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4154937267303467},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4104892611503601},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.36115020513534546},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.334977924823761},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1674247682094574},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3178876.3186077","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186077","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186077&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3178876.3186077","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186077","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186077&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G2673388003","display_name":null,"funder_award_id":"IIS-1714741 and IIS-1715940","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5495925939","display_name":"III: Small: Unsupervised Feature Selection in the Era of Big Data","funder_award_id":"1714741","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5921281487","display_name":null,"funder_award_id":"number","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7110045","display_name":null,"funder_award_id":"IIS-1714741","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7773032749","display_name":"III: Small: Collaborative Research: A General Feature Learning Framework for Dynamic Attributed Networks","funder_award_id":"1715940","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8783789473","display_name":null,"funder_award_id":"IIS-1715940","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2789033601.pdf","grobid_xml":"https://content.openalex.org/works/W2789033601.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W10957333","https://openalex.org/W77961983","https://openalex.org/W194577561","https://openalex.org/W592244745","https://openalex.org/W1496253462","https://openalex.org/W1518951372","https://openalex.org/W1522301498","https://openalex.org/W1591706642","https://openalex.org/W1850742715","https://openalex.org/W1884859883","https://openalex.org/W1959608418","https://openalex.org/W1975244201","https://openalex.org/W1993378086","https://openalex.org/W2064675550","https://openalex.org/W2101105183","https://openalex.org/W2108501770","https://openalex.org/W2116983617","https://openalex.org/W2137607259","https://openalex.org/W2154652894","https://openalex.org/W2157331557","https://openalex.org/W2160458012","https://openalex.org/W2167839676","https://openalex.org/W2250645967","https://openalex.org/W2267186426","https://openalex.org/W2399880602","https://openalex.org/W2403702038","https://openalex.org/W2585723084","https://openalex.org/W2593696076","https://openalex.org/W2604777655","https://openalex.org/W2891416139","https://openalex.org/W2949416428","https://openalex.org/W2951008357","https://openalex.org/W2962854379","https://openalex.org/W2962883855","https://openalex.org/W2962954913","https://openalex.org/W2963206148","https://openalex.org/W2963223306","https://openalex.org/W2963903950","https://openalex.org/W2963963856","https://openalex.org/W2964121744","https://openalex.org/W2964210218","https://openalex.org/W2964352131","https://openalex.org/W2972367661","https://openalex.org/W3022187094","https://openalex.org/W3121541553","https://openalex.org/W4290742115","https://openalex.org/W6600426076","https://openalex.org/W6617744952","https://openalex.org/W6638318767","https://openalex.org/W6639118987"],"related_works":["https://openalex.org/W2368824897","https://openalex.org/W1950940422","https://openalex.org/W1910862367","https://openalex.org/W2129146436","https://openalex.org/W1508050556","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W4283822356","https://openalex.org/W2030109976","https://openalex.org/W3031223029"],"abstract_inverted_index":{"Dialogue":[0],"systems":[1],"help":[2],"various":[3,32],"real":[4],"applications":[5],"interact":[6],"with":[7,59],"humans":[8],"in":[9,73,92],"an":[10,44,74],"intelligent":[11],"natural":[12],"way.":[13],"In":[14,102],"dialogue":[15,20,35,147,156,178],"systems,":[16],"the":[17,79,116,120,139,151],"task":[18],"of":[19,34,46,55,87,154,170],"generation":[21,36,40,51],"aims":[22],"to":[23],"generate":[24],"utterances":[25,28,97],"given":[26],"previous":[27],"as":[29],"contexts.":[30],"Among":[31],"spectrums":[33],"approaches,":[37],"end-to-end":[38,49,67],"neural":[39,50,62,126],"models":[41,52],"have":[42],"received":[43],"increase":[45],"attention.":[47],"These":[48],"are":[53],"capable":[54],"generating":[56],"natural-sounding":[57],"sentences":[58],"a":[60,107,125,167],"unified":[61],"encoder-decoder":[63,127],"network":[64,112,123],"structure.":[65],"The":[66],"structure":[68,118],"sequentially":[69],"encodes":[70],"each":[71],"word":[72],"input":[75],"context":[76],"and":[77,89,119,143],"generates":[78],"response":[80],"word-by-word":[81],"deterministically":[82],"during":[83,146],"decoding.":[84],"However,":[85],"lack":[86],"variation":[88],"limited":[90],"ability":[91],"capturing":[93],"long-term":[94,144],"dependencies":[95],"between":[96],"still":[98],"challenge":[99],"existing":[100],"approaches.":[101],"this":[103],"paper,":[104],"we":[105],"propose":[106],"novel":[108],"hierarchical":[109,117],"variational":[110,121],"memory":[111,122],"(HVMN),":[113],"by":[114],"adding":[115],"into":[124],"network.":[128],"By":[129],"emulating":[130],"human-to-human":[131],"dialogues,":[132],"our":[133,171],"proposed":[134,172],"method":[135],"can":[136],"capture":[137],"both":[138],"high-level":[140],"abstract":[141],"variations":[142],"memories":[145],"tracking,":[148],"which":[149],"enables":[150],"random":[152],"access":[153],"relevant":[155],"histories.":[157],"Extensive":[158],"experiments":[159],"conducted":[160],"on":[161],"three":[162],"large":[163],"real-world":[164],"datasets":[165],"verify":[166],"significant":[168],"improvement":[169],"model":[173],"against":[174],"state-of-the-art":[175],"baselines":[176],"for":[177],"generation.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":18},{"year":2018,"cited_by_count":6}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}