{"id":"https://openalex.org/W1989948147","doi":"https://doi.org/10.1145/1390334.1390433","title":"TSCAN","display_name":"TSCAN","publication_year":2008,"publication_date":"2008-07-20","ids":{"openalex":"https://openalex.org/W1989948147","doi":"https://doi.org/10.1145/1390334.1390433","mag":"1989948147"},"language":"en","primary_location":{"id":"doi:10.1145/1390334.1390433","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390334.1390433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval","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/A5101806372","display_name":"Chien Chin Chen","orcid":"https://orcid.org/0000-0002-8357-1305"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chien Chin Chen","raw_affiliation_strings":["National Taiwan University, Taipei, Taiwan Roc","National Taiwan University, Taipei, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan University, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052520979","display_name":"Meng Chang Chen","orcid":"https://orcid.org/0000-0002-6815-2436"},"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":"Meng Chang Chen","raw_affiliation_strings":["Academia, Sinica, Taipei, Taiwan Roc","Academia Sinica, Taipei, Taiwan, ROC"],"affiliations":[{"raw_affiliation_string":"Academia, Sinica, Taipei, Taiwan Roc","institution_ids":["https://openalex.org/I84653119"]},{"raw_affiliation_string":"Academia Sinica, Taipei, Taiwan, ROC","institution_ids":["https://openalex.org/I84653119"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101806372"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":6.2926,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.9600321,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"579","last_page":"586"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9986000061035156,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8133852481842041},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7521877288818359},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.7273788452148438},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.572222113609314},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.549106776714325},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5247071981430054},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5232573747634888},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5092138051986694},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4387704133987427},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4167417287826538},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.415205180644989},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18617305159568787},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11433133482933044},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.092336505651474}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8133852481842041},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7521877288818359},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.7273788452148438},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.572222113609314},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.549106776714325},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5247071981430054},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5232573747634888},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5092138051986694},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4387704133987427},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4167417287826538},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.415205180644989},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18617305159568787},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11433133482933044},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.092336505651474},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1390334.1390433","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1390334.1390433","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1501617060","https://openalex.org/W1575538315","https://openalex.org/W1660390307","https://openalex.org/W1967082914","https://openalex.org/W1998224037","https://openalex.org/W2026302857","https://openalex.org/W2032474878","https://openalex.org/W2033026043","https://openalex.org/W2034721576","https://openalex.org/W2040466507","https://openalex.org/W2071243724","https://openalex.org/W2110693578","https://openalex.org/W2135909747","https://openalex.org/W2138621811","https://openalex.org/W2144941913","https://openalex.org/W2147674242","https://openalex.org/W2150824314","https://openalex.org/W2164613440","https://openalex.org/W3101913037"],"related_works":["https://openalex.org/W2366403280","https://openalex.org/W1495108544","https://openalex.org/W2091301346","https://openalex.org/W3148229873","https://openalex.org/W4389760904","https://openalex.org/W2150160875","https://openalex.org/W4242223894","https://openalex.org/W3134559341","https://openalex.org/W4385570385","https://openalex.org/W1589415932"],"abstract_inverted_index":{"A":[0],"topic":[1,42,52,64,75],"is":[2,19],"defined":[3],"as":[4,21],"a":[5,22,39,51,74,80],"seminal":[6],"event":[7],"or":[8],"activity":[9],"along":[10],"with":[11],"all":[12],"directly":[13],"related":[14],"events":[15,88,107],"and":[16,46,92,114,150],"activities.":[17],"It":[18],"represented":[20],"chronological":[23],"sequence":[24],"of":[25,50,73,79,89,101,122,142,147,159],"documents":[26],"by":[27,97],"different":[28],"authors":[29],"published":[30],"on":[31,127,164],"the":[32,59,70,77,86,90,99,102,105,119,123,128,134,140,152],"Internet.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37],"define":[38],"task":[40],"called":[41,67],"anatomy,":[43],"which":[44],"summarizes":[45],"associates":[47],"core":[48],"parts":[49],"graphically":[53],"so":[54],"that":[55,133],"readers":[56],"can":[57],"understand":[58],"content":[60,148],"easily.":[61],"The":[62],"proposed":[63],"anatomy":[65],"model,":[66],"TSCAN,":[68],"derives":[69],"major":[71],"themes":[72,91],"from":[76],"eigenvectors":[78],"temporal":[81,112],"block":[82],"association":[83],"matrix.":[84],"Then,":[85],"significant":[87],"their":[93,111],"summaries":[94,154],"are":[95,108,155],"extracted":[96,106],"examining":[98],"constitution":[100],"eigenvectors.":[103],"Finally,":[104],"associated":[109],"through":[110],"closeness":[113],"context":[115],"similarity":[116],"to":[117,157],"form":[118],"evolution":[120,136],"graph":[121],"topic.":[124],"Experiments":[125],"based":[126,163],"official":[129],"TDT4":[130],"corpus":[131],"demonstrate":[132],"generated":[135],"graphs":[137],"comprehensibly":[138],"describe":[139],"storylines":[141],"topics.":[143],"Moreover,":[144],"in":[145],"terms":[146],"coverage":[149],"consistency,":[151],"produced":[153],"superior":[156],"those":[158],"other":[160],"summarization":[161],"methods":[162],"human":[165],"composed":[166],"reference":[167],"summaries.":[168]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
