{"id":"https://openalex.org/W2970603474","doi":"https://doi.org/10.18653/v1/d19-1124","title":"Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation","display_name":"Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2970603474","doi":"https://doi.org/10.18653/v1/d19-1124","mag":"2970603474"},"language":"en","primary_location":{"id":"doi:10.18653/v1/d19-1124","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1124","pdf_url":"https://www.aclweb.org/anthology/D19-1124.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/D19-1124.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033885404","display_name":"Min Zeng","orcid":"https://orcid.org/0000-0002-1726-0955"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Min Zeng","raw_affiliation_strings":["Department of Computer Science and Engineering Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Shanghai Jiao Tong University","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101431030","display_name":"Yisen Wang","orcid":"https://orcid.org/0000-0002-0181-2137"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yisen Wang","raw_affiliation_strings":["Department of Computer Science and Engineering Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Shanghai Jiao Tong University","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100452550","display_name":"Yuan Luo","orcid":"https://orcid.org/0000-0003-0195-7456"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan Luo","raw_affiliation_strings":["Department of Computer Science and Engineering Shanghai Jiao Tong University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Shanghai Jiao Tong University","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033885404"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1002,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.90411211,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1267","last_page":"1272"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.996399998664856,"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":0.9886999726295471,"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/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.7953580617904663},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276121377944946},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6719483733177185},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.515600860118866},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5014183521270752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.488810271024704},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.46778547763824463},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.4489259123802185},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4124853312969208},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.4110496938228607},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3970741629600525},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.21202734112739563},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.162875235080719},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08427616953849792},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.07891091704368591},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.06626558303833008}],"concepts":[{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.7953580617904663},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276121377944946},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6719483733177185},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.515600860118866},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5014183521270752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.488810271024704},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.46778547763824463},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.4489259123802185},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4124853312969208},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.4110496938228607},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3970741629600525},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.21202734112739563},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.162875235080719},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08427616953849792},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.07891091704368591},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06626558303833008},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/d19-1124","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1124","pdf_url":"https://www.aclweb.org/anthology/D19-1124.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/d19-1124","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/d19-1124","pdf_url":"https://www.aclweb.org/anthology/D19-1124.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 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2970603474.pdf","grobid_xml":"https://content.openalex.org/works/W2970603474.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1591706642","https://openalex.org/W1880262756","https://openalex.org/W1959608418","https://openalex.org/W2016944307","https://openalex.org/W2089150068","https://openalex.org/W2125320996","https://openalex.org/W2140679639","https://openalex.org/W2157331557","https://openalex.org/W2250645967","https://openalex.org/W2804766086","https://openalex.org/W2962854379","https://openalex.org/W2962883855","https://openalex.org/W2963223306","https://openalex.org/W2963620441","https://openalex.org/W2963790827","https://openalex.org/W2963879591","https://openalex.org/W2963916785","https://openalex.org/W2964121744","https://openalex.org/W3022187094","https://openalex.org/W4231510805","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3126382579","https://openalex.org/W3107650560","https://openalex.org/W4315588616","https://openalex.org/W4317422773","https://openalex.org/W2888805565","https://openalex.org/W2810542905","https://openalex.org/W2129350855","https://openalex.org/W2913821620","https://openalex.org/W3123667230","https://openalex.org/W2048330531"],"abstract_inverted_index":{"Min":[0],"Zeng,":[1],"Yisen":[2],"Wang,":[3],"Yuan":[4],"Luo.":[5],"Proceedings":[6],"of":[7],"the":[8,19],"2019":[9],"Conference":[10,23],"on":[11,24],"Empirical":[12],"Methods":[13],"in":[14],"Natural":[15,25],"Language":[16,26],"Processing":[17,27],"and":[18],"9th":[20],"International":[21],"Joint":[22],"(EMNLP-IJCNLP).":[28],"2019.":[29]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}