{"id":"https://openalex.org/W3014539864","doi":"https://doi.org/10.1145/3377407","title":"Enhanced Language Modeling with Proximity and Sentence Relatedness Information for Extractive Broadcast News Summarization","display_name":"Enhanced Language Modeling with Proximity and Sentence Relatedness Information for Extractive Broadcast News Summarization","publication_year":2020,"publication_date":"2020-02-07","ids":{"openalex":"https://openalex.org/W3014539864","doi":"https://doi.org/10.1145/3377407","mag":"3014539864"},"language":"en","primary_location":{"id":"doi:10.1145/3377407","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377407","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","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/A5077552169","display_name":"Shih\u2010Hung Liu","orcid":"https://orcid.org/0000-0003-4178-1694"},"institutions":[{"id":"https://openalex.org/I4210129657","display_name":"Delta Electronics (Taiwan)","ror":"https://ror.org/03acb7p04","country_code":"TW","type":"company","lineage":["https://openalex.org/I4210129657"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shih-Hung Liu","raw_affiliation_strings":["Delta Management System, Taipei City, Taiwan (R.O.C.)"],"affiliations":[{"raw_affiliation_string":"Delta Management System, Taipei City, Taiwan (R.O.C.)","institution_ids":["https://openalex.org/I4210129657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100714445","display_name":"Kuan-Yu Chen","orcid":"https://orcid.org/0000-0001-9656-7551"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Yu Chen","raw_affiliation_strings":["National Taiwan University of Science and Technology, Taipei City, Taiwan (R.O.C)"],"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology, Taipei City, Taiwan (R.O.C)","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","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; ASUS Intelligent Cloud Service Center (AICS)","National Taiwan Normal University"],"affiliations":[{"raw_affiliation_string":"National Taiwan Normal University; ASUS Intelligent Cloud Service Center (AICS)","institution_ids":["https://openalex.org/I134161618"]},{"raw_affiliation_string":"National Taiwan Normal University","institution_ids":["https://openalex.org/I134161618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077552169"],"corresponding_institution_ids":["https://openalex.org/I4210129657"],"apc_list":null,"apc_paid":null,"fwci":0.7954,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77657674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"19","issue":"3","first_page":"1","last_page":"19"},"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":0.9997000098228455,"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":0.9861999750137329,"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/sentence","display_name":"Sentence","score":0.8591703176498413},{"id":"https://openalex.org/keywords/automatic-summarization","display_name":"Automatic summarization","score":0.8347132205963135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8335586786270142},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6627947092056274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6377220153808594},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5752389430999756},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.48708581924438477},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47619664669036865},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47237256169319153},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4233195185661316},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12062573432922363}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.8591703176498413},{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8347132205963135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8335586786270142},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6627947092056274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6377220153808594},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5752389430999756},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.48708581924438477},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47619664669036865},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47237256169319153},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4233195185661316},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12062573432922363},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/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:10.1145/3377407","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377407","pdf_url":null,"source":{"id":"https://openalex.org/S4306421405","display_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","issn_l":"2375-4699","issn":["2375-4699","2375-4702"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Asian and Low-Resource Language Information Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.41999998688697815}],"awards":[{"id":"https://openalex.org/G5613401537","display_name":null,"funder_award_id":"MOST 107-2634-F-008-004","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W330298975","https://openalex.org/W586637197","https://openalex.org/W1483313504","https://openalex.org/W1508165687","https://openalex.org/W1966736334","https://openalex.org/W1969700396","https://openalex.org/W1985258458","https://openalex.org/W1997294177","https://openalex.org/W2002890640","https://openalex.org/W2017187090","https://openalex.org/W2026191715","https://openalex.org/W2036010191","https://openalex.org/W2036315856","https://openalex.org/W2052088591","https://openalex.org/W2056985955","https://openalex.org/W2078008248","https://openalex.org/W2088575391","https://openalex.org/W2092246763","https://openalex.org/W2093629936","https://openalex.org/W2094515246","https://openalex.org/W2097321121","https://openalex.org/W2107326178","https://openalex.org/W2110693578","https://openalex.org/W2135077887","https://openalex.org/W2142769902","https://openalex.org/W2142920810","https://openalex.org/W2143555316","https://openalex.org/W2162439664","https://openalex.org/W2168859760","https://openalex.org/W2172706639","https://openalex.org/W2238929664","https://openalex.org/W2266707165","https://openalex.org/W2276623712","https://openalex.org/W2289419351","https://openalex.org/W2476001438","https://openalex.org/W2489487449","https://openalex.org/W2593581739","https://openalex.org/W2600463316","https://openalex.org/W2747573959","https://openalex.org/W2913074841","https://openalex.org/W2962704246","https://openalex.org/W2998674842","https://openalex.org/W3003439302","https://openalex.org/W3122775348","https://openalex.org/W3141239769","https://openalex.org/W3143835353","https://openalex.org/W4206584443","https://openalex.org/W4211230408","https://openalex.org/W4256161595","https://openalex.org/W6656734758","https://openalex.org/W6681377254"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W1517524280","https://openalex.org/W4323520239","https://openalex.org/W4389760904","https://openalex.org/W2944691285"],"abstract_inverted_index":{"The":[0,75,97,120],"primary":[1],"task":[2,49,255],"of":[3,12,29,95,139,181,208,223,260,281,292],"extractive":[4],"summarization":[5,198,220,254,274],"is":[6,78,99,123,266],"to":[7,40,70,80,92,101,110,125,133,160,168,177,187,196],"automatically":[8],"select":[9],"a":[10,16,42,82,114,135,152,250,288],"set":[11,68],"representative":[13],"sentences":[14,132],"from":[15,165],"text":[17],"or":[18],"spoken":[19],"document":[20,167],"that":[21,156,235,257],"can":[22,172,276],"concisely":[23],"express":[24],"the":[25,30,62,127,145,166,179,193,201,218,224,279,304],"most":[26],"important":[27,117],"theme":[28],"original":[31],"document.":[32],"Recently,":[33],"language":[34],"modeling":[35,44,215],"(LM)":[36],"has":[37],"been":[38],"proven":[39],"be":[41,169,173],"promising":[43],"framework":[45,89],"for":[46,116,144,211,269],"performing":[47],"this":[48,73,88],"in":[50,72,87,108,131,213,217,303],"an":[51,282],"unsupervised":[52,300],"manner.":[53],"However,":[54],"there":[55],"still":[56],"remain":[57],"three":[58],"fundamental":[59],"challenges":[60],"facing":[61],"existing":[63],"LM-based":[64,219,283],"methods,":[65],"which":[66,171],"we":[67,150,204,229],"out":[69],"tackle":[71],"article.":[74,305],"first":[76,146],"one":[77,122],"how":[79,100,124],"construct":[81],"more":[83,136],"accurate":[84,137],"sentence":[85,118,141,162,183,214,240,244,263],"model":[86],"without":[90],"resorting":[91],"external":[93],"sources":[94],"information.":[96],"second":[98,148],"take":[102],"into":[103,243],"account":[104],"sentence-level":[105,189],"structural":[106,190],"relationships,":[107],"addition":[109],"word-level":[111],"information":[112,164,242,265],"within":[113,192],"document,":[115,194],"selection.":[119],"last":[121],"exploit":[126],"proximity":[128,209,238,261],"cues":[129,210],"inherent":[130],"obtain":[134],"estimation":[138,180],"respective":[140],"models.":[142],"Specifically,":[143],"and":[147,239,262,295],"challenges,":[149],"explore":[151],"novel,":[153],"principled":[154],"approach":[155],"generates":[157],"overlapped":[158],"clusters":[159],"extract":[161],"relatedness":[163,241,264],"summarized,":[170],"used":[174],"not":[175],"only":[176],"enhance":[178],"various":[182,232],"models":[184],"but":[185],"also":[186,230,296],"render":[188],"relationships":[191],"leading":[195],"better":[197],"effectiveness.":[199],"For":[200],"third":[202],"challenge,":[203],"investigate":[205],"several":[206,298],"formulations":[207],"use":[212],"involved":[216],"framework,":[221],"free":[222],"strict":[225],"bag-of-words":[226],"assumption.":[227],"Furthermore,":[228],"present":[231],"ensemble":[233],"methods":[234,275,301],"seamlessly":[236],"integrate":[237],"modeling.":[245],"Extensive":[246],"experiments":[247],"conducted":[248],"on":[249],"Mandarin":[251],"broadcast":[252],"news":[253],"show":[256],"such":[258],"integration":[259],"indeed":[267],"beneficial":[268],"speech":[270],"summarization.":[271],"Our":[272],"proposed":[273],"significantly":[277],"boost":[278],"performance":[280],"strong":[284],"baseline":[285],"(e.g.,":[286],"with":[287],"maximum":[289],"ROUGE-2":[290],"improvement":[291],"26.7%":[293],"relative)":[294],"outperform":[297],"state-of-the-art":[299],"compared":[302]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
