{"id":"https://openalex.org/W4288042585","doi":"https://doi.org/10.1142/s0218001422530068","title":"An Improved Semi-supervised Variational Autoencoder with Gate Mechanism for Text Classification","display_name":"An Improved Semi-supervised Variational Autoencoder with Gate Mechanism for Text Classification","publication_year":2022,"publication_date":"2022-06-09","ids":{"openalex":"https://openalex.org/W4288042585","doi":"https://doi.org/10.1142/s0218001422530068"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422530068","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422530068","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5030503893","display_name":"Haiming Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiming Ye","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, P. R. China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101643168","display_name":"Weiwen Zhang","orcid":"https://orcid.org/0000-0002-5098-6459"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiwen Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, P. R. China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114021698","display_name":"Mengna Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengna Nie","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006, P. R. China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101643168"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.5305,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70521854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"36","issue":"10","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9937000274658203,"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":0.8770995140075684},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7208409905433655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.673043966293335},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5805350542068481},{"id":"https://openalex.org/keywords/semi-supervised-learning","display_name":"Semi-supervised learning","score":0.5198719501495361},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5073832869529724},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.49743393063545227},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4873434007167816},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.4737306833267212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4565436840057373},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4459298253059387},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3691444993019104}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8770995140075684},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7208409905433655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.673043966293335},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5805350542068481},{"id":"https://openalex.org/C58973888","wikidata":"https://www.wikidata.org/wiki/Q1041418","display_name":"Semi-supervised learning","level":2,"score":0.5198719501495361},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5073832869529724},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.49743393063545227},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4873434007167816},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.4737306833267212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4565436840057373},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4459298253059387},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3691444993019104},{"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422530068","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422530068","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.800000011920929,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7671022659","display_name":null,"funder_award_id":"62002071","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":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W2064675550","https://openalex.org/W2097089247","https://openalex.org/W2123610365","https://openalex.org/W2157331557","https://openalex.org/W2194775991","https://openalex.org/W2250539671","https://openalex.org/W2343390829","https://openalex.org/W2559655401","https://openalex.org/W2604272474","https://openalex.org/W2739996966","https://openalex.org/W2962739339","https://openalex.org/W2963081964","https://openalex.org/W2963223306","https://openalex.org/W2963411289","https://openalex.org/W2963858765","https://openalex.org/W2963997607","https://openalex.org/W2987221721","https://openalex.org/W2996432545","https://openalex.org/W3011117268","https://openalex.org/W3035100081","https://openalex.org/W3124474911","https://openalex.org/W3138147930","https://openalex.org/W3164375809"],"related_works":["https://openalex.org/W1586607209","https://openalex.org/W122912556","https://openalex.org/W4312414840","https://openalex.org/W2621411691","https://openalex.org/W2271357838","https://openalex.org/W2556866732","https://openalex.org/W2794908468","https://openalex.org/W2328989934","https://openalex.org/W2348322200","https://openalex.org/W2981952041"],"abstract_inverted_index":{"In":[0,44],"recent":[1],"years,":[2],"semi-supervised":[3,124],"learning":[4,19,125],"has":[5],"been":[6],"investigated":[7],"to":[8,91],"take":[9],"full":[10],"advantages":[11],"of":[12,28,58,95,109,137,151,158],"increasing":[13],"unlabeled":[14,29],"data.":[15,110,162],"Although":[16],"pretrained":[17],"deep":[18],"models":[20],"are":[21],"successfully":[22],"adopted":[23],"on":[24,101,160],"a":[25,49,83,106],"massive":[26],"amount":[27,108],"data,":[30],"they":[31],"may":[32],"not":[33],"be":[34],"applicable":[35],"in":[36,130],"specific":[37],"domains":[38],"as":[39,64],"the":[40,66,69,72,93,96,128,131,135,144,149,152,156],"data":[41],"is":[42],"limited.":[43],"this":[45],"paper,":[46],"we":[47,81],"propose":[48],"model,":[50],"termed":[51],"Semi-supervised":[52],"Variational":[53],"AutoEncoder":[54],"(SVAE),":[55],"which":[56],"consists":[57],"Gated":[59],"Convolutional":[60],"Neural":[61],"Networks":[62],"(GCNN)":[63],"both":[65],"encoder":[67],"and":[68,123,140],"decoder.":[70],"Since":[71],"canonical":[73],"VAE":[74],"suffers":[75],"from":[76],"Kullback\u2013Leibler":[77],"(KL)":[78],"vanishing":[79,146],"problem,":[80],"attach":[82],"layer":[84],"named":[85],"Scalar":[86,141],"after":[87],"Batch":[88],"Normalization":[89],"(BN)":[90],"scale":[92],"output":[94],"BN.":[97],"We":[98],"conduct":[99],"experiments":[100],"two":[102],"domain-specific":[103],"datasets":[104],"with":[105],"small":[107],"The":[111],"results":[112,129],"show":[113],"that":[114],"SVAE":[115,159],"outperforms":[116],"other":[117],"alternative":[118],"baselines":[119],"for":[120,142],"language":[121,132],"modeling":[122,133],"studies.":[126],"Especially,":[127],"validate":[134],"effect":[136],"combining":[138],"BN":[139],"tackling":[143],"KL":[145],"problem.":[147],"Moreover,":[148],"visualization":[150],"latent":[153],"representations":[154],"verifies":[155],"performance":[157],"less":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
