{"id":"https://openalex.org/W3027864066","doi":"https://doi.org/10.1145/3377939","title":"Story Forest","display_name":"Story Forest","publication_year":2020,"publication_date":"2020-05-13","ids":{"openalex":"https://openalex.org/W3027864066","doi":"https://doi.org/10.1145/3377939","mag":"3027864066"},"language":"en","primary_location":{"id":"doi:10.1145/3377939","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377939","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","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/A5100691219","display_name":"Bang Liu","orcid":"https://orcid.org/0000-0002-2272-6852"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Bang Liu","raw_affiliation_strings":["University of Alberta, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103231191","display_name":"Fred X. Han","orcid":"https://orcid.org/0000-0001-9379-2147"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fred X. Han","raw_affiliation_strings":["University of Alberta, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032424832","display_name":"Di Niu","orcid":"https://orcid.org/0000-0002-5250-7327"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Di Niu","raw_affiliation_strings":["University of Alberta, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062334200","display_name":"Linglong Kong","orcid":"https://orcid.org/0000-0003-3011-9216"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Linglong Kong","raw_affiliation_strings":["University of Alberta, Alberta, Canada"],"affiliations":[{"raw_affiliation_string":"University of Alberta, Alberta, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102307089","display_name":"Kunfeng Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kunfeng Lai","raw_affiliation_strings":["Tencent, Nanshan, Shenzhen, Guangdong Province, China"],"affiliations":[{"raw_affiliation_string":"Tencent, Nanshan, Shenzhen, Guangdong Province, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077651244","display_name":"Yu Xu","orcid":"https://orcid.org/0000-0003-2942-3739"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xu","raw_affiliation_strings":["Tencent, Nanshan, Shenzhen, Guangdong Province, China"],"affiliations":[{"raw_affiliation_string":"Tencent, Nanshan, Shenzhen, Guangdong Province, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100691219"],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":5.1657,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.9622811,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"14","issue":"3","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9973000288009644,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9973000288009644,"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/T10064","display_name":"Complex Network Analysis Techniques","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9797000288963318,"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/timeline","display_name":"Timeline","score":0.85666823387146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8146296739578247},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6402172446250916},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6091500520706177},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5737401843070984},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.5645514726638794},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.5336583256721497},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.513153612613678},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4877970516681671},{"id":"https://openalex.org/keywords/news-aggregator","display_name":"News aggregator","score":0.43321651220321655},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4183060824871063},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3608228862285614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22588488459587097},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.08846327662467957}],"concepts":[{"id":"https://openalex.org/C4438859","wikidata":"https://www.wikidata.org/wiki/Q186117","display_name":"Timeline","level":2,"score":0.85666823387146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8146296739578247},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6402172446250916},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6091500520706177},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5737401843070984},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.5645514726638794},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.5336583256721497},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.513153612613678},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4877970516681671},{"id":"https://openalex.org/C180505990","wikidata":"https://www.wikidata.org/wiki/Q498267","display_name":"News aggregator","level":2,"score":0.43321651220321655},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4183060824871063},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3608228862285614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22588488459587097},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.08846327662467957},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377939","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377939","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"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 Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W40976687","https://openalex.org/W165525898","https://openalex.org/W1516184288","https://openalex.org/W1525595230","https://openalex.org/W1546703457","https://openalex.org/W1591079019","https://openalex.org/W1591708989","https://openalex.org/W1594112393","https://openalex.org/W1638133288","https://openalex.org/W1673310716","https://openalex.org/W1880262756","https://openalex.org/W1944329887","https://openalex.org/W1977884995","https://openalex.org/W1989894105","https://openalex.org/W2011430131","https://openalex.org/W2013029404","https://openalex.org/W2038920443","https://openalex.org/W2040466507","https://openalex.org/W2060314721","https://openalex.org/W2064988570","https://openalex.org/W2069207503","https://openalex.org/W2070507812","https://openalex.org/W2081980673","https://openalex.org/W2083620785","https://openalex.org/W2096335387","https://openalex.org/W2097241552","https://openalex.org/W2098318489","https://openalex.org/W2107743791","https://openalex.org/W2123661878","https://openalex.org/W2131988669","https://openalex.org/W2133286915","https://openalex.org/W2136716480","https://openalex.org/W2138615112","https://openalex.org/W2147674242","https://openalex.org/W2150376021","https://openalex.org/W2155330039","https://openalex.org/W2156483112","https://openalex.org/W2169343523","https://openalex.org/W2171317718","https://openalex.org/W2251282666","https://openalex.org/W2294906672","https://openalex.org/W2434205482","https://openalex.org/W2503179616","https://openalex.org/W2534342463","https://openalex.org/W2538688051","https://openalex.org/W2571268788","https://openalex.org/W2598684926","https://openalex.org/W2963099470","https://openalex.org/W4231510805","https://openalex.org/W4233135949","https://openalex.org/W4234917632","https://openalex.org/W7015365012"],"related_works":["https://openalex.org/W1858249912","https://openalex.org/W2114034199","https://openalex.org/W2317428717","https://openalex.org/W2734259032","https://openalex.org/W4385261515","https://openalex.org/W3094038556","https://openalex.org/W4296345146","https://openalex.org/W2014772881","https://openalex.org/W4254228154","https://openalex.org/W3049477255"],"abstract_inverted_index":{"Extracting":[0],"events":[1,9,77,128,182,206,282],"accurately":[2,123,280],"from":[3,26,78,129,207],"vast":[4,79],"news":[5,14,23,47,53,69,83,87,210,238,245,250,285],"corpora":[6],"and":[7,16,29,84,108,111,124,136,256,283],"organize":[8,22,284],"logically":[10],"is":[11,43,198,292],"critical":[12],"for":[13],"apps":[15],"search":[17],"engines,":[18],"which":[19],"aim":[20],"to":[21,32,75,85,102,122,151,186,204,220,279,294],"information":[24],"collected":[25],"the":[27,35,51,140,258,273],"Internet":[28,209,244],"present":[30],"it":[31],"users":[33],"in":[34,56,90,100,117,145,149,183],"most":[36],"sensible":[37],"forms.":[38],"Intuitively":[39],"speaking,":[40],"an":[41,91,146],"event":[42,112,143,254],"a":[44,68,153,167,201,215,241,288],"group":[45,221],"of":[46,66,81,132,142,169,193,235,276],"documents":[48,176,222],"that":[49,118,172,247,291],"report":[50],"same":[52],"incident":[54],"possibly":[55],"different":[57],"ways.":[58],"In":[59,158],"this":[60],"article,":[61],"we":[62,119,162],"describe":[63],"our":[64,194],"experience":[65,268],"implementing":[67],"content":[70],"organization":[71],"system":[72,96,197],"at":[73],"Tencent":[74],"discover":[76],"streams":[80,131],"breaking":[82],"evolve":[86],"story":[88],"structures":[89,141],"online":[92,147,170],"fashion.":[93],"Our":[94],"real-world":[95,236],"faces":[97],"unique":[98],"challenges":[99],"contrast":[101],"previous":[103],"studies":[104],"on":[105,214,231],"topic":[106],"detection":[107],"tracking":[109],"(TDT)":[110],"timeline":[113],"or":[114],"graph":[115],"generation,":[116],"(1)":[120,232],"need":[121],"quickly":[125],"extract":[126,205],"distinguishable":[127],"massive":[130,208],"long":[133],"text":[134,286],"documents,":[135],"(2)":[137,240],"must":[138],"develop":[139],"stories":[144],"manner,":[148],"order":[150],"guarantee":[152],"consistent":[154],"user":[155,267],"viewing":[156],"experience.":[157],"solving":[159],"these":[160],"challenges,":[161],"propose":[163],"Story":[164,195,277],"Forest":[165,196,278],",":[166,200],"set":[168],"schemes":[171],"automatically":[173],"clusters":[174],"streaming":[175],"into":[177,223,287],"events,":[178],"while":[179],"connecting":[180],"related":[181],"growing":[184],"trees":[185],"tell":[187],"evolving":[188],"stories.":[189],"A":[190],"core":[191],"novelty":[192],"EventX":[199,212],"semi-supervised":[202],"scheme":[203],"corpora.":[211],"relies":[213],"two-layered,":[216],"graph-based":[217],"clustering":[218],"procedure":[219],"fine-grained":[224],"events.":[225],"We":[226],"conducted":[227],"extensive":[228],"evaluations":[229],"based":[230],"60":[233],"GB":[234],"Chinese":[237,243],"data,":[239],"large":[242],"dataset":[246],"contains":[248],"11,748":[249],"articles":[251],"with":[252],"truth":[253],"labels,":[255],"(3)":[257],"20":[259],"News":[260],"Groups":[261],"English":[262],"dataset,":[263],"through":[264],"detailed":[265],"pilot":[266],"studies.":[269],"The":[270],"results":[271],"demonstrate":[272],"superior":[274],"capabilities":[275],"identify":[281],"logical":[289],"structure":[290],"appealing":[293],"human":[295],"readers.":[296]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2020-05-29T00:00:00"}