{"id":"https://openalex.org/W2977881783","doi":"https://doi.org/10.1109/access.2019.2944630","title":"Latent Space Expanded Variational Autoencoder for Sentence Generation","display_name":"Latent Space Expanded Variational Autoencoder for Sentence Generation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2977881783","doi":"https://doi.org/10.1109/access.2019.2944630","mag":"2977881783"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2944630","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944630","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08853312.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08853312.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102844432","display_name":"Tianbao Song","orcid":"https://orcid.org/0000-0002-0369-9668"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianbao Song","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024567788","display_name":"Jingbo Sun","orcid":"https://orcid.org/0000-0003-4462-8660"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingbo Sun","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427253","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0001-5151-9388"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006421021","display_name":"Weiming Peng","orcid":"https://orcid.org/0000-0002-2624-2812"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Peng","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101526655","display_name":"Jihua Song","orcid":"https://orcid.org/0000-0003-2648-4712"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihua Song","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102844432"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.7342,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.88893486,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"144618","last_page":"144627"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9980999827384949,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9887999892234802,"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/autoencoder","display_name":"Autoencoder","score":0.7209686040878296},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6731308102607727},{"id":"https://openalex.org/keywords/linear-subspace","display_name":"Linear subspace","score":0.6378724575042725},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5857274532318115},{"id":"https://openalex.org/keywords/divergence","display_name":"Divergence (linguistics)","score":0.5260282158851624},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5159791111946106},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5056173801422119},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46184319257736206},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.4604296386241913},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.45741599798202515},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.43219679594039917},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3388257622718811},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20767822861671448},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.20720970630645752},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.17929229140281677}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7209686040878296},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6731308102607727},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.6378724575042725},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5857274532318115},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.5260282158851624},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5159791111946106},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5056173801422119},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46184319257736206},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.4604296386241913},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.45741599798202515},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.43219679594039917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3388257622718811},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20767822861671448},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.20720970630645752},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.17929229140281677},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2944630","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944630","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08853312.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2626b380afd4432fb1eb5288261a6aab","is_oa":true,"landing_page_url":"https://doaj.org/article/2626b380afd4432fb1eb5288261a6aab","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 144618-144627 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2944630","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2944630","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08853312.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1938723125","display_name":null,"funder_award_id":"61877004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7174558747","display_name":null,"funder_award_id":"Group","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2977881783.pdf","grobid_xml":"https://content.openalex.org/works/W2977881783.grobid-xml"},"referenced_works_count":72,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1909320841","https://openalex.org/W1959608418","https://openalex.org/W2115613106","https://openalex.org/W2130942839","https://openalex.org/W2133564696","https://openalex.org/W2173681125","https://openalex.org/W2250539671","https://openalex.org/W2327562811","https://openalex.org/W2521114121","https://openalex.org/W2581637843","https://openalex.org/W2593383075","https://openalex.org/W2622563070","https://openalex.org/W2625327772","https://openalex.org/W2753738274","https://openalex.org/W2786772298","https://openalex.org/W2796704765","https://openalex.org/W2808873503","https://openalex.org/W2897095370","https://openalex.org/W2911173908","https://openalex.org/W2922442527","https://openalex.org/W2933374552","https://openalex.org/W2935811960","https://openalex.org/W2949141958","https://openalex.org/W2951523806","https://openalex.org/W2951824008","https://openalex.org/W2952729433","https://openalex.org/W2953046278","https://openalex.org/W2962741254","https://openalex.org/W2962826786","https://openalex.org/W2962965405","https://openalex.org/W2963018920","https://openalex.org/W2963206148","https://openalex.org/W2963223306","https://openalex.org/W2964199361","https://openalex.org/W2964222296","https://openalex.org/W2964268978","https://openalex.org/W3022187094","https://openalex.org/W3100650951","https://openalex.org/W4293469690","https://openalex.org/W4297663084","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6631190155","https://openalex.org/W6639118987","https://openalex.org/W6639732818","https://openalex.org/W6640842352","https://openalex.org/W6640963894","https://openalex.org/W6679434410","https://openalex.org/W6679436768","https://openalex.org/W6685158001","https://openalex.org/W6685356407","https://openalex.org/W6688384872","https://openalex.org/W6702162793","https://openalex.org/W6712878229","https://openalex.org/W6718362372","https://openalex.org/W6727329663","https://openalex.org/W6727862155","https://openalex.org/W6729906282","https://openalex.org/W6730998768","https://openalex.org/W6734351891","https://openalex.org/W6738090124","https://openalex.org/W6738560588","https://openalex.org/W6739226949","https://openalex.org/W6741121127","https://openalex.org/W6744627333","https://openalex.org/W6747262243","https://openalex.org/W6750852989","https://openalex.org/W6752205200","https://openalex.org/W6755505197","https://openalex.org/W6779669310","https://openalex.org/W6898505805"],"related_works":["https://openalex.org/W2988134182","https://openalex.org/W2242083226","https://openalex.org/W2884410131","https://openalex.org/W4394785709","https://openalex.org/W4309969736","https://openalex.org/W1603253275","https://openalex.org/W120501756","https://openalex.org/W111011176","https://openalex.org/W2953501176","https://openalex.org/W2770818364"],"abstract_inverted_index":{"Sentence":[0],"generation":[1],"is":[2,133,248],"a":[3,15,24,47,58,70,126,144,169,221],"key":[4],"task":[5],"in":[6,46,195],"many":[7],"natural":[8],"language":[9],"processing":[10],"systems.":[11],"Models":[12],"based":[13],"on":[14],"variational":[16],"autoencoder":[17],"(VAE)":[18],"can":[19],"generate":[20,102],"plausible":[21,214],"sentences":[22,56,65,104,159,184],"from":[23,69,89,105,190,241],"continuous":[25,145,171],"latent":[26,33,52,61,82,107,127,146,172,180,224],"space.":[27,62,108],"However,":[28],"the":[29,32,41,51,64,77,81,90,96,99,106,110,117,149,179,204,207,211,227,230,242],"VAE":[30,118,130,228],"forces":[31],"distribution":[34],"of":[35,54,98,151,182,210,232],"each":[36,141,191],"input":[37,91],"sentence":[38,136,142,176],"to":[39,95,101,121,143,160,162,168,175,250,255],"match":[40],"same":[42],"prior,":[43],"which":[44,93],"results":[45,201],"large":[48,170],"overlap":[49],"among":[50],"subspaces":[53,181],"different":[55,183],"and":[57,80,156,193,215,219,234,246,252],"limited":[59],"informative":[60,223],"Therefore,":[63],"generated":[66],"by":[67],"sampling":[68],"subspace":[71,147],"may":[72,185],"have":[73],"little":[74],"correlation":[75],"with":[76,229],"corresponding":[78],"input,":[79],"space":[83,128,173,225],"cannot":[84],"capture":[85],"rich":[86],"useful":[87],"information":[88],"sentences,":[92,218],"leads":[94],"failure":[97],"model":[100,132,139],"diverse":[103,217],"Additionally,":[109],"Kullback-Leibler":[111],"(KL)":[112],"divergence":[113],"collapse":[114,244],"problem":[115],"makes":[116],"notoriously":[119],"difficult":[120],"train.":[122,256],"In":[123],"this":[124],"paper,":[125],"expanded":[129],"(LSE-VAE)":[131],"presented":[134],"for":[135],"generation.":[137],"The":[138,199,236],"maps":[140],"under":[148],"constraint":[150],"its":[152],"own":[153],"prior":[154],"distribution,":[155],"constrains":[157],"nearby":[158,163],"map":[161],"subspaces.":[164],"Sentences":[165],"are":[166],"dispersed":[167],"according":[174],"similarity,":[177],"where":[178],"be":[186],"relatively":[187],"far":[188],"away":[189],"other":[192],"arranged":[194],"an":[196],"orderly":[197],"manner.":[198],"experimental":[200],"show":[202],"that":[203],"LSE-VAE":[205,237],"improves":[206],"reconstruction":[208],"ability":[209],"VAE,":[212],"generates":[213],"more":[216],"learns":[220],"larger":[222],"than":[226],"properties":[231],"continuity":[233],"smoothness.":[235],"does":[238],"not":[239],"suffer":[240],"KL":[243],"problem,":[245],"it":[247],"robust":[249],"hyperparameters":[251],"much":[253],"easier":[254]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
