{"id":"https://openalex.org/W2097440732","doi":"https://doi.org/10.1109/icassp.2009.4959927","title":"Latent Dirichlet learning for document summarization","display_name":"Latent Dirichlet learning for document summarization","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2097440732","doi":"https://doi.org/10.1109/icassp.2009.4959927","mag":"2097440732"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5035294518","display_name":"Ying-Lang Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ying-Lang Chang","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061908942","display_name":"Jen\u2010Tzung Chien","orcid":"https://orcid.org/0000-0003-3466-8941"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jen-Tzung Chien","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan 70101, ROC","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91807558"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1689","last_page":"1692"},"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":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9945999979972839,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9294247627258301},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.8705559372901917},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7966128587722778},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6861608028411865},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6790679097175598},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6219560503959656},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.5985131859779358},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.47925424575805664},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32526788115501404}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9294247627258301},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.8705559372901917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7966128587722778},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6861608028411865},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6790679097175598},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6219560503959656},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.5985131859779358},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.47925424575805664},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32526788115501404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4959927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959927","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1516111018","https://openalex.org/W1880262756","https://openalex.org/W1967082914","https://openalex.org/W1988352834","https://openalex.org/W2097321121","https://openalex.org/W2107743791","https://openalex.org/W2109450366","https://openalex.org/W2110027950","https://openalex.org/W2141211247","https://openalex.org/W2148374900","https://openalex.org/W2158291389","https://openalex.org/W4233135949","https://openalex.org/W4237791300","https://openalex.org/W6676568847"],"related_works":["https://openalex.org/W2769501189","https://openalex.org/W4315588616","https://openalex.org/W4312773271","https://openalex.org/W2888805565","https://openalex.org/W2962686197","https://openalex.org/W3005513013","https://openalex.org/W2207653751","https://openalex.org/W3159709618","https://openalex.org/W2611137333","https://openalex.org/W4389543811"],"abstract_inverted_index":{"Automatic":[0],"summarization":[1,120,133],"is":[2,56,69,80,113],"developed":[3],"to":[4,71,102,115],"extract":[5],"the":[6,34,64,73,104,123,125],"representative":[7],"contents":[8],"or":[9],"sentences":[10,26,117],"from":[11,63],"a":[12,20,30,89,94,119],"large":[13],"corpus":[14],"of":[15,24,76,96,136],"documents.":[16],"This":[17],"paper":[18],"presents":[19],"new":[21],"hierarchical":[22],"representation":[23],"words,":[25],"and":[27,32,40,46,79,139],"documents":[28],"in":[29,43,107,118,134],"corpus,":[31],"infers":[33],"Dirichlet":[35,53,97],"distributions":[36],"for":[37,59,83,131],"latent":[38,41,52,105],"topics":[39,106],"themes":[42],"word":[44],"level":[45],"sentence":[47,84,90],"level,":[48],"respectively.":[49],"The":[50,110],"sentence-based":[51],"allocation":[54],"(SLDA)":[55],"accordingly":[57],"established":[58],"document":[60,132],"summarization.":[61],"Different":[62],"vector":[65],"space":[66],"summarization,":[67],"SLDA":[68,86,127],"built":[70],"fit":[72],"fine":[74],"structure":[75],"text":[77],"documents,":[78],"specifically":[81],"designed":[82],"selection.":[85],"acts":[87],"as":[88],"mixture":[91,95],"model":[92,112],"with":[93],"themes,":[98],"which":[99],"are":[100],"used":[101],"generate":[103],"observed":[108],"words.":[109],"theme":[111],"inherent":[114],"distinguish":[116],"system.":[121],"In":[122],"experiments,":[124],"proposed":[126],"outperforms":[128],"other":[129],"methods":[130],"terms":[135],"precision,":[137],"recall":[138],"F-measure.":[140]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
