{"id":"https://openalex.org/W3003621239","doi":"https://doi.org/10.1109/tkde.2020.2970051","title":"A General Framework for First Story Detection Utilizing Entities and Their Relations","display_name":"A General Framework for First Story Detection Utilizing Entities and Their Relations","publication_year":2020,"publication_date":"2020-01-29","ids":{"openalex":"https://openalex.org/W3003621239","doi":"https://doi.org/10.1109/tkde.2020.2970051","mag":"3003621239"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2970051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2970051","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5102876966","display_name":"\u039d\u03b9\u03ba\u03cc\u03bb\u03b1\u03bf\u03c2 \u03a0\u03b1\u03bd\u03b1\u03b3\u03b9\u03ce\u03c4\u03bf\u03c5","orcid":"https://orcid.org/0000-0002-1044-2756"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikolaos Panagiotou","raw_affiliation_strings":["National and Kapodistrian University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-1044-2756","affiliations":[{"raw_affiliation_string":"National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024795464","display_name":"Cem Akkaya","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cem Akkaya","raw_affiliation_strings":["Facebook AI, Menlo Park, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook AI, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210114444","https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070966667","display_name":"Kostas Tsioutsiouliklis","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kostas Tsioutsiouliklis","raw_affiliation_strings":["Yahoo Research, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Research, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002042735","display_name":"Vana Kalogeraki","orcid":"https://orcid.org/0000-0002-6421-9947"},"institutions":[{"id":"https://openalex.org/I73142707","display_name":"Athens University of Economics and Business","ror":"https://ror.org/03s262162","country_code":"GR","type":"education","lineage":["https://openalex.org/I73142707"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Vana Kalogeraki","raw_affiliation_strings":["Athens University of Economics and Business, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Athens University of Economics and Business, Athens, Greece","institution_ids":["https://openalex.org/I73142707"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063685438","display_name":"Dimitrios Gunopulos","orcid":"https://orcid.org/0000-0001-6339-1879"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios Gunopulos","raw_affiliation_strings":["National and Kapodistrian University of Athens, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.557,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73785765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"33","issue":"11","first_page":"3482","last_page":"3493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9987000226974487,"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":0.8707449436187744},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.8496428728103638},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6815746426582336},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.654131293296814},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.652840793132782},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5448176860809326},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.49183058738708496},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46444302797317505},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4604725241661072},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.4459710717201233},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4387321174144745},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.41237160563468933},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3891109824180603},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3413408398628235},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18746933341026306},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.113086998462677},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09839341044425964}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8707449436187744},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.8496428728103638},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6815746426582336},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.654131293296814},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.652840793132782},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5448176860809326},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.49183058738708496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46444302797317505},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4604725241661072},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.4459710717201233},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4387321174144745},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.41237160563468933},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3891109824180603},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3413408398628235},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18746933341026306},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.113086998462677},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09839341044425964},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2020.2970051","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2970051","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W53209706","https://openalex.org/W88302371","https://openalex.org/W1496393218","https://openalex.org/W1966193717","https://openalex.org/W2007760849","https://openalex.org/W2012833704","https://openalex.org/W2026810221","https://openalex.org/W2036139138","https://openalex.org/W2039582269","https://openalex.org/W2062088920","https://openalex.org/W2086925418","https://openalex.org/W2105846817","https://openalex.org/W2127978399","https://openalex.org/W2129842875","https://openalex.org/W2135909747","https://openalex.org/W2140427797","https://openalex.org/W2153579005","https://openalex.org/W2167187514","https://openalex.org/W2247412337","https://openalex.org/W2250752175","https://openalex.org/W2462693065","https://openalex.org/W2468280121","https://openalex.org/W2470778793","https://openalex.org/W2471366537","https://openalex.org/W2506577269","https://openalex.org/W2563351168","https://openalex.org/W2575646905","https://openalex.org/W2794681549","https://openalex.org/W4230940751","https://openalex.org/W4294170691","https://openalex.org/W6629638141","https://openalex.org/W6679243379","https://openalex.org/W6680392773","https://openalex.org/W6682691769","https://openalex.org/W6684350123","https://openalex.org/W6720922435","https://openalex.org/W6731031554","https://openalex.org/W6731758069"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703","https://openalex.org/W41015297"],"abstract_inverted_index":{"News":[0,5],"portals,":[1],"such":[2],"as":[3],"Yahoo":[4],"or":[6],"Google":[7],"News,":[8],"collect":[9],"large":[10,164],"amounts":[11],"of":[12,18,28,75,112,123],"news":[13],"articles":[14],"from":[15],"a":[16,21,25,42,54,73,82,163],"variety":[17,74],"sources":[19],"on":[20,36,93],"daily":[22],"basis.":[23],"Only":[24],"small":[26],"portion":[27],"these":[29],"documents":[30],"can":[31],"be":[32],"selected":[33],"and":[34,97,102,175,178],"displayed":[35],"the":[37,99,110],"homepage.":[38],"Thus,":[39],"there":[40],"is":[41,67,179],"strong":[43],"preference":[44],"for":[45,181],"major,":[46],"recent":[47],"events.":[48],"In":[49,78,158],"this":[50],"work,":[51],"we":[52,80,134,160],"propose":[53],"scalable":[55],"First":[56],"Story":[57],"Detection":[58],"(FSD)":[59],"pipeline":[60,66,171],"that":[61,86,138,145,167],"identifies":[62],"fresh":[63],"news.":[64],"This":[65],"used":[68],"in":[69,87,105,149],"order":[70,106],"to":[71,89,107],"instantiate":[72],"FSD":[76,84,125,147,170],"approaches.":[77],"addition":[79],"suggest":[81],"novel":[83],"technique":[85,118],"comparison":[88],"existing":[90,121],"systems,":[91],"relies":[92],"relation":[94],"extraction":[95],"algorithms":[96],"exploits":[98],"named":[100],"entities":[101],"their":[103],"relations":[104],"decide":[108],"about":[109],"freshness":[111],"an":[113,153],"article.":[114],"We":[115],"evaluate":[116],"our":[117,128,146,168],"by":[119],"instantiating":[120],"state":[122],"art":[124],"techniques":[126],"within":[127],"generic":[129],"pipeline.":[130],"As":[131],"ground":[132],"truth":[133],"use":[135],"multiple":[136],"datasets":[137],"cover":[139],"different":[140],"categories.":[141],"Experimental":[142],"results":[143],"demonstrate":[144],"method":[148],"many":[150],"cases":[151],"provides":[152],"improvement":[154],"over":[155],"state-of-the-art":[156],"techniques.":[157],"addition,":[159],"show":[161],"using":[162],"synthetic":[165],"dataset":[166],"general":[169],"has":[172],"constant":[173],"space":[174],"time":[176],"requirements":[177],"suitable":[180],"very":[182],"high":[183],"volume":[184],"streams.":[185]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}