{"id":"https://openalex.org/W2249191539","doi":"https://doi.org/10.1109/icnc.2015.7377987","title":"Topical Paragraph Vector learning","display_name":"Topical Paragraph Vector learning","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2249191539","doi":"https://doi.org/10.1109/icnc.2015.7377987","mag":"2249191539"},"language":"en","primary_location":{"id":"doi:10.1109/icnc.2015.7377987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2015.7377987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th International Conference on Natural Computation (ICNC)","raw_type":"proceedings-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/A5055225558","display_name":"Qinlong Wang","orcid":"https://orcid.org/0000-0002-6176-8203"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinlong Wang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023135578","display_name":"Ruifang Liu","orcid":"https://orcid.org/0000-0003-1801-6759"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruifang Liu","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029017494","display_name":"Hongqiao Li","orcid":"https://orcid.org/0000-0001-6010-8732"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongqiao Li","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts & Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039583318","display_name":"Wenbin Guo","orcid":"https://orcid.org/0000-0002-0706-4192"},"institutions":[{"id":"https://openalex.org/I4210164386","display_name":"Hebei Science and Technology Department","ror":"https://ror.org/05k812a28","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210164386"]},{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenbin Guo","raw_affiliation_strings":["Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Shijiazhuang, Hebei","WSPN, Beijing University of Posts & Telecommunications, Beijing"],"affiliations":[{"raw_affiliation_string":"Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory, Shijiazhuang, Hebei","institution_ids":["https://openalex.org/I4210164386"]},{"raw_affiliation_string":"WSPN, Beijing University of Posts & Telecommunications, Beijing","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055225558"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08115445,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"182","last_page":"187"},"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":0.9993000030517578,"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":0.9991000294685364,"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/polysemy","display_name":"Polysemy","score":0.8145498633384705},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7861557006835938},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.7614442706108093},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.7418460845947266},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7400723695755005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6905619502067566},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.649265706539154},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.5550296902656555},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5278686881065369},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4494855999946594},{"id":"https://openalex.org/keywords/semeval","display_name":"SemEval","score":0.42179998755455017},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.33579587936401367},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33176344633102417},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.16005772352218628},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1501266360282898},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07409226894378662}],"concepts":[{"id":"https://openalex.org/C2780276568","wikidata":"https://www.wikidata.org/wiki/Q191928","display_name":"Polysemy","level":2,"score":0.8145498633384705},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861557006835938},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.7614442706108093},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.7418460845947266},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7400723695755005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6905619502067566},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.649265706539154},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.5550296902656555},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5278686881065369},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4494855999946594},{"id":"https://openalex.org/C44572571","wikidata":"https://www.wikidata.org/wiki/Q7448970","display_name":"SemEval","level":3,"score":0.42179998755455017},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.33579587936401367},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33176344633102417},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.16005772352218628},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1501266360282898},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07409226894378662},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnc.2015.7377987","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnc.2015.7377987","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 11th International Conference on Natural Computation (ICNC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"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":36,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W72669446","https://openalex.org/W179875071","https://openalex.org/W1498436455","https://openalex.org/W1614298861","https://openalex.org/W1652505363","https://openalex.org/W1660390307","https://openalex.org/W1880262756","https://openalex.org/W2021363263","https://openalex.org/W2109664771","https://openalex.org/W2110485445","https://openalex.org/W2121227244","https://openalex.org/W2131462252","https://openalex.org/W2131744502","https://openalex.org/W2132339004","https://openalex.org/W2133280805","https://openalex.org/W2150375101","https://openalex.org/W2164019165","https://openalex.org/W2187741934","https://openalex.org/W2238728730","https://openalex.org/W2949547296","https://openalex.org/W2950577311","https://openalex.org/W3207342693","https://openalex.org/W4231510805","https://openalex.org/W4254816979","https://openalex.org/W4285719527","https://openalex.org/W6602002561","https://openalex.org/W6636510571","https://openalex.org/W6639619044","https://openalex.org/W6676373471","https://openalex.org/W6679224782","https://openalex.org/W6679775712","https://openalex.org/W6679915538","https://openalex.org/W6684165356","https://openalex.org/W6686958735","https://openalex.org/W7023653924"],"related_works":["https://openalex.org/W2376040010","https://openalex.org/W2613880225","https://openalex.org/W2788559978","https://openalex.org/W2377059580","https://openalex.org/W2469576572","https://openalex.org/W2753242182","https://openalex.org/W2798669739","https://openalex.org/W2953242939","https://openalex.org/W2612746495","https://openalex.org/W4292355215"],"abstract_inverted_index":{"Word":[0],"embeddings":[1,13,92],"are":[2],"distributed":[3],"representations":[4],"of":[5,57,80,106],"word":[6,12,20,47,76,91,95,108,117],"features.":[7],"Despite":[8],"its":[9],"effectiveness,":[10],"most":[11],"share":[14],"a":[15,24,123],"common":[16],"problem":[17],"that":[18,137],"each":[19,75,94],"is":[21,44],"represented":[22],"with":[23],"single":[25,107],"vector,":[26],"which":[27,43],"fails":[28],"to":[29,46,70,74,110],"capture":[30],"homonymy":[31],"and":[32,55],"polysemy.":[33],"In":[34,63],"this":[35],"paper,":[36],"we":[37,65,88,102,134],"propose":[38],"Topical":[39],"Paragraph":[40],"Vector":[41],"(TPV)":[42],"similar":[45],"embedding":[48,109,118],"training":[49],"method.":[50],"We":[51],"also":[52],"use":[53],"ordering":[54],"semantics":[56],"words":[58],"as":[59,122],"features":[60],"during":[61],"training.":[62],"addition,":[64],"employ":[66],"latent":[67,99],"topic":[68],"model":[69,115,142],"assign":[71],"specific":[72],"topics":[73],"given":[77],"the":[78,81,84,98,104,120,140],"contexts":[79],"documents.":[82],"With":[83],"proposed":[85],"TPV":[86],"model,":[87],"obtain":[89],"multiple":[90],"for":[93,125],"implicitly":[96],"in":[97,147],"space.":[100],"Thus":[101],"overcome":[103],"weakness":[105],"certain":[111],"extents.":[112],"Furthermore,":[113],"our":[114,132],"combines":[116],"within":[119],"document":[121,128],"vector":[124],"more":[126],"semantic-enriched":[127],"level":[129],"representation.":[130],"From":[131],"experiments,":[133],"can":[135],"see":[136],"it":[138],"outperforms":[139],"baseline":[141],"on":[143],"text":[144],"classification":[145],"task":[146],"20_Newsgroup":[148],"corpus.":[149]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}