{"id":"https://openalex.org/W2571974409","doi":"https://doi.org/10.1109/apsipa.2016.7820882","title":"A novel paragraph embedding method for spoken document summarization","display_name":"A novel paragraph embedding method for spoken document summarization","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2571974409","doi":"https://doi.org/10.1109/apsipa.2016.7820882","mag":"2571974409"},"language":"en","primary_location":{"id":"doi:10.1109/apsipa.2016.7820882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","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/A5100714445","display_name":"Kuan-Yu Chen","orcid":"https://orcid.org/0000-0001-9656-7551"},"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"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Kuan-Yu Chen","raw_affiliation_strings":["Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077552169","display_name":"Shih\u2010Hung Liu","orcid":"https://orcid.org/0000-0003-4178-1694"},"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"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shih-Hung Liu","raw_affiliation_strings":["Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115595070","display_name":"Berlin Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I134161618","display_name":"National Taiwan Normal University","ror":"https://ror.org/059dkdx38","country_code":"TW","type":"education","lineage":["https://openalex.org/I134161618"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Berlin Chen","raw_affiliation_strings":["National Taiwan Normal University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University, Taiwan","institution_ids":["https://openalex.org/I134161618"]}]},{"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/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":["Academia Sinica, Taiwan"],"affiliations":[{"raw_affiliation_string":"Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100714445"],"corresponding_institution_ids":["https://openalex.org/I84653119"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09731762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.9983999729156494,"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":0.9983000159263611,"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":0.897390604019165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8605571985244751},{"id":"https://openalex.org/keywords/paragraph","display_name":"Paragraph","score":0.8583348393440247},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6268616914749146},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6097329258918762},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5825332403182983},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5765871405601501},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.558301568031311},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5565440654754639},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.5353342294692993},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5024299621582031},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4989323616027832},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.4710661768913269},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4366685152053833},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.41952231526374817},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1430855691432953}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.897390604019165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8605571985244751},{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.8583348393440247},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6268616914749146},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6097329258918762},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5825332403182983},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5765871405601501},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.558301568031311},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5565440654754639},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.5353342294692993},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5024299621582031},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4989323616027832},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.4710661768913269},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4366685152053833},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.41952231526374817},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1430855691432953},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/apsipa.2016.7820882","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipa.2016.7820882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W303217050","https://openalex.org/W1522301498","https://openalex.org/W1614298861","https://openalex.org/W1962684803","https://openalex.org/W1969700396","https://openalex.org/W1997662901","https://openalex.org/W2001679125","https://openalex.org/W2002890640","https://openalex.org/W2037570505","https://openalex.org/W2083305840","https://openalex.org/W2083778364","https://openalex.org/W2110693578","https://openalex.org/W2115230584","https://openalex.org/W2117130368","https://openalex.org/W2131744502","https://openalex.org/W2136189984","https://openalex.org/W2143555316","https://openalex.org/W2165835468","https://openalex.org/W2181864336","https://openalex.org/W2250539671","https://openalex.org/W2250879510","https://openalex.org/W2288246891","https://openalex.org/W2293520353","https://openalex.org/W2293771131","https://openalex.org/W2474251382","https://openalex.org/W2476001438","https://openalex.org/W2913074841","https://openalex.org/W2919115771","https://openalex.org/W2952505812","https://openalex.org/W2962887935","https://openalex.org/W2964121744","https://openalex.org/W2998704965","https://openalex.org/W3101913037","https://openalex.org/W3122775348","https://openalex.org/W3138773240","https://openalex.org/W4206584443","https://openalex.org/W4210834152","https://openalex.org/W4211230408","https://openalex.org/W4285719527","https://openalex.org/W6610713307","https://openalex.org/W6631190155","https://openalex.org/W6635055002","https://openalex.org/W6636510571","https://openalex.org/W6641263247","https://openalex.org/W6677213770","https://openalex.org/W6679775712","https://openalex.org/W6680450716","https://openalex.org/W6680532216","https://openalex.org/W6681377254","https://openalex.org/W6685903065","https://openalex.org/W6721032690","https://openalex.org/W6730107931"],"related_works":["https://openalex.org/W3164984162","https://openalex.org/W2104677027","https://openalex.org/W2902627734","https://openalex.org/W2112885393","https://openalex.org/W2173208124","https://openalex.org/W2568827738","https://openalex.org/W1990695371","https://openalex.org/W2365100044","https://openalex.org/W1943954554","https://openalex.org/W2099859325"],"abstract_inverted_index":{"Representation":[0],"learning":[1,13,33],"has":[2],"emerged":[3],"as":[4,41,48,50],"a":[5,57,84,90,115,133,154,176,189,203],"newly":[6],"active":[7],"research":[8,60],"subject":[9],"in":[10,114,148],"many":[11],"machine":[12],"applications":[14],"because":[15],"of":[16,23,59,86,99,121,135,182,230],"its":[17],"excellent":[18],"performance.":[19,226],"In":[20],"the":[21,95,100,122,129,161,171,183,198,222,228],"context":[22],"natural":[24],"language":[25],"processing,":[26],"paragraph":[27,64,157,177],"(or":[28],"sentence":[29,136],"and":[30,44,76,108,137,214,237],"document)":[31],"embedding":[32,65,158],"is":[34,55,105,240],"more":[35,190],"suitable/reasonable":[36],"for":[37],"some":[38],"tasks,":[39],"such":[40],"information":[42,174,186,216],"retrieval":[43],"document":[45,69,92,224,245],"summarization.":[46],"However,":[47,119],"far":[49],"we":[51,152,196],"are":[52,110,146],"aware,":[53],"there":[54],"only":[56,128,169],"dearth":[58],"focusing":[61],"on":[62,126],"launching":[63],"methods.":[66],"Extractive":[67],"spoken":[68,223,244],"summarization,":[70],"which":[71,165,209],"can":[72,210],"help":[73],"us":[74],"browse":[75],"digest":[77],"multimedia":[78],"data":[79],"efficiently,":[80],"aims":[81,166],"at":[82,167],"selecting":[83],"set":[85],"indicative":[87],"sentences":[88],"from":[89,175],"source":[91],"to":[93,187,220],"express":[94],"most":[96,120,172],"important":[97],"theme":[98],"document.":[101,138],"A":[102],"general":[103,184],"consensus":[104],"that":[106],"relevance":[107,130,213],"redundancy":[109,215],"both":[111,212],"critical":[112],"issues":[113],"realistic":[116],"summarization":[117,207,225,246],"scenario.":[118],"existing":[123],"methods":[124,233,239],"focus":[125],"determining":[127],"degree":[131],"between":[132],"pair":[134],"Motivated":[139],"by":[140,242],"these":[141],"observations,":[142],"three":[143],"major":[144],"contributions":[145],"proposed":[147,232],"this":[149],"paper.":[150],"First,":[151],"propose":[153],"novel":[155],"unsupervised":[156],"method,":[159,208],"named":[160],"essence":[162,200],"vector":[163,193],"model,":[164],"not":[168],"distilling":[170],"representative":[173],"but":[178],"also":[179],"getting":[180],"rid":[181],"background":[185],"produce":[188],"informative":[191],"low-dimensional":[192],"representation.":[194],"Second,":[195],"incorporate":[197],"deduced":[199],"vectors":[201],"with":[202],"density":[204],"peaks":[205],"clustering":[206],"take":[211],"into":[217],"account":[218],"simultaneously,":[219],"enhance":[221],"Third,":[227],"effectiveness":[229],"our":[231],"over":[234],"several":[235],"well-practiced":[236],"state-of-the-art":[238],"confirmed":[241],"extensive":[243],"experiments.":[247]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
