{"id":"https://openalex.org/W2146256057","doi":"https://doi.org/10.1109/slt.2010.5700883","title":"Exploiting semantic associative information in topic modeling","display_name":"Exploiting semantic associative information in topic modeling","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2146256057","doi":"https://doi.org/10.1109/slt.2010.5700883","mag":"2146256057"},"language":"en","primary_location":{"id":"doi:10.1109/slt.2010.5700883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2010.5700883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Spoken Language Technology Workshop","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/A5009497116","display_name":"Meng-Sung Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Meng-Sung Wu","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan","Institute of Information Science,Academia Sinica,,Taipei,,Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science,Academia Sinica,,Taipei,,Taiwan","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048338308","display_name":"Hung-Shin Lee","orcid":"https://orcid.org/0000-0001-7044-9434"},"institutions":[{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]},{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Shin Lee","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan","Institute of Information Science,Academia Sinica,,Taipei,,Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science,Academia Sinica,,Taipei,,Taiwan","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071214181","display_name":"Hsin\u2010Min Wang","orcid":"https://orcid.org/0000-0003-3599-5071"},"institutions":[{"id":"https://openalex.org/I4210098366","display_name":"Institute of Information Science, Academia Sinica","ror":"https://ror.org/00z83z196","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210098366","https://openalex.org/I84653119"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Min Wang","raw_affiliation_strings":["Institute of Information Science, Academia Sinica, Taipei, Taiwan","Institute of Information Science,Academia Sinica,,Taipei,,Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Academia Sinica, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210098366"]},{"raw_affiliation_string":"Institute of Information Science,Academia Sinica,,Taipei,,Taiwan","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009497116"],"corresponding_institution_ids":["https://openalex.org/I4210098366","https://openalex.org/I84653119"],"apc_list":null,"apc_paid":null,"fwci":0.9021,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81410937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"3","issue":null,"first_page":"384","last_page":"388"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","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/T13083","display_name":"Advanced Text Analysis Techniques","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/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/T11550","display_name":"Text and Document Classification Technologies","score":0.9959999918937683,"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":0.8155581951141357},{"id":"https://openalex.org/keywords/probabilistic-latent-semantic-analysis","display_name":"Probabilistic latent semantic analysis","score":0.6869560480117798},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.6086515188217163},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6034773588180542},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.5883108377456665},{"id":"https://openalex.org/keywords/latent-semantic-analysis","display_name":"Latent semantic analysis","score":0.5613110661506653},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.5529883503913879},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5410330295562744},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4899498522281647},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.48230648040771484},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.46974971890449524},{"id":"https://openalex.org/keywords/association","display_name":"Association (psychology)","score":0.4640376567840576},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4432751536369324},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1163596510887146},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0769432783126831}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8155581951141357},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.6869560480117798},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.6086515188217163},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6034773588180542},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.5883108377456665},{"id":"https://openalex.org/C170133592","wikidata":"https://www.wikidata.org/wiki/Q1806883","display_name":"Latent semantic analysis","level":2,"score":0.5613110661506653},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.5529883503913879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5410330295562744},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4899498522281647},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.48230648040771484},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.46974971890449524},{"id":"https://openalex.org/C142853389","wikidata":"https://www.wikidata.org/wiki/Q744778","display_name":"Association (psychology)","level":2,"score":0.4640376567840576},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4432751536369324},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1163596510887146},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0769432783126831},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/slt.2010.5700883","is_oa":false,"landing_page_url":"https://doi.org/10.1109/slt.2010.5700883","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Spoken Language Technology Workshop","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W9577327","https://openalex.org/W39210278","https://openalex.org/W108963832","https://openalex.org/W170413352","https://openalex.org/W1484413656","https://openalex.org/W1593045043","https://openalex.org/W1612003148","https://openalex.org/W1880262756","https://openalex.org/W1967109167","https://openalex.org/W2071940869","https://openalex.org/W2072773380","https://openalex.org/W2104210067","https://openalex.org/W2116085680","https://openalex.org/W2141211247","https://openalex.org/W2147152072","https://openalex.org/W4231510805","https://openalex.org/W6606882126","https://openalex.org/W6628750762","https://openalex.org/W6635456232","https://openalex.org/W6636440780","https://openalex.org/W6639619044","https://openalex.org/W6641846158","https://openalex.org/W6668882199"],"related_works":["https://openalex.org/W2588002110","https://openalex.org/W2111020819","https://openalex.org/W2082325506","https://openalex.org/W2775171027","https://openalex.org/W2921491680","https://openalex.org/W3152143533","https://openalex.org/W4214866631","https://openalex.org/W4285156758","https://openalex.org/W2171515436","https://openalex.org/W4385572821"],"abstract_inverted_index":{"Topic":[0],"modeling":[1,11,95],"has":[2],"been":[3],"widely":[4],"applied":[5],"in":[6,16,28,43],"a":[7,106],"variety":[8],"of":[9,48,50,65,81,111,125],"text":[10],"tasks":[12],"as":[13,15,108],"well":[14],"speech":[17,31],"recognition":[18],"systems":[19],"for":[20],"effectively":[21],"capturing":[22],"the":[23,38,66,73,79,82,96,115,123,126,150],"semantic":[24,63,74,83,97],"and":[25,133,145],"statistic":[26],"information":[27,59],"documents":[29],"or":[30],"utterances.":[32],"Most":[33],"topic":[34,76,89],"models":[35],"rely":[36],"on":[37,94,143],"bag-of-words":[39],"assumption":[40],"that":[41,99,149],"results":[42,142],"learned":[44],"latent":[45],"topics":[46],"composed":[47],"lists":[49],"individual":[51],"words.":[52,113],"Unfortunately,":[53],"these":[54],"words":[55,103],"may":[56],"convey":[57],"topical":[58],"but":[60],"lack":[61],"accurate":[62],"knowledge":[64],"text.":[67],"In":[68],"this":[69],"paper,":[70],"we":[71],"present":[72],"associative":[75],"model,":[77],"where":[78],"concept":[80],"association":[84,110],"terms":[85],"is":[86,119],"extended":[87],"to":[88,121,157],"modeling,":[90],"which":[91,136],"provides":[92],"guidance":[93],"associations":[98],"occur":[100],"among":[101],"single":[102],"by":[104],"expressing":[105],"document":[107],"an":[109],"multiple":[112],"Further,":[114],"pointwise":[116],"KL-divergence":[117],"metric":[118],"used":[120],"measure":[122],"significance":[124],"association.":[127],"We":[128],"also":[129],"integrate":[130],"original":[131],"PLSA":[132],"SATM":[134],"models,":[135],"have":[137],"mixed":[138],"feature":[139],"representations.":[140],"Experimental":[141],"WSJ":[144],"AP":[146],"datasets":[147],"show":[148],"proposed":[151],"approaches":[152],"achieved":[153],"higher":[154],"performance":[155],"compared":[156],"other":[158],"methods.":[159]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
