{"id":"https://openalex.org/W4385482961","doi":"https://doi.org/10.1109/ijcnn54540.2023.10192046","title":"A Trigger-Free Method Enhanced by Coreference Information for Document-Level Event Extraction","display_name":"A Trigger-Free Method Enhanced by Coreference Information for Document-Level Event Extraction","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385482961","doi":"https://doi.org/10.1109/ijcnn54540.2023.10192046"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10192046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10192046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101948938","display_name":"Fumin Chen","orcid":"https://orcid.org/0000-0003-1543-295X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fumin Chen","raw_affiliation_strings":["College of Computer Science, Sichuan University,Chengdu,China","College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University,Chengdu,China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009343038","display_name":"Xu Wang","orcid":"https://orcid.org/0000-0002-4821-3334"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Wang","raw_affiliation_strings":["College of Computer Science, Sichuan University,Chengdu,China","College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University,Chengdu,China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115595216","display_name":"Xiaohui Liu","orcid":"https://orcid.org/0000-0001-8934-9871"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Liu","raw_affiliation_strings":["School of Cyber Science and Engineering, Sichuan University,China","School of Cyber Science and Engineering, Sichuan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University,China","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"School of Cyber Science and Engineering, Sichuan University, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027770821","display_name":"Dezhong Peng","orcid":"https://orcid.org/0000-0002-0987-8472"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhong Peng","raw_affiliation_strings":["College of Computer Science, Sichuan University,Chengdu,China","Sichuan Zhiqian Technology Co., Ltd, Chengdu, China","Chengdu Ruibei Yingte Information Technology Co., Ltd, Chengdu, China","College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University,Chengdu,China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]},{"raw_affiliation_string":"Sichuan Zhiqian Technology Co., Ltd, Chengdu, China","institution_ids":[]},{"raw_affiliation_string":"Chengdu Ruibei Yingte Information Technology Co., Ltd, Chengdu, China","institution_ids":[]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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/T13083","display_name":"Advanced Text Analysis Techniques","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"}},{"id":"https://openalex.org/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9950000047683716,"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/coreference","display_name":"Coreference","score":0.9705631136894226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8772850036621094},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7412924766540527},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.7015728950500488},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.635410487651825},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.595320463180542},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5694292187690735},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5224893689155579},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4985227584838867},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44879287481307983},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.4144291877746582},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3340582251548767},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.21606144309043884}],"concepts":[{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.9705631136894226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8772850036621094},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7412924766540527},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7015728950500488},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.635410487651825},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.595320463180542},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5694292187690735},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5224893689155579},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4985227584838867},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44879287481307983},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.4144291877746582},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3340582251548767},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.21606144309043884},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/ijcnn54540.2023.10192046","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10192046","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2107598941","https://openalex.org/W2250999640","https://openalex.org/W2296283641","https://openalex.org/W2475245295","https://openalex.org/W2618285232","https://openalex.org/W2803884531","https://openalex.org/W2890373807","https://openalex.org/W2891553865","https://openalex.org/W2904206140","https://openalex.org/W2921038073","https://openalex.org/W2921532028","https://openalex.org/W2945058366","https://openalex.org/W2970684294","https://openalex.org/W2984582583","https://openalex.org/W3024298906","https://openalex.org/W3035000929","https://openalex.org/W3080532247","https://openalex.org/W3102925419","https://openalex.org/W3129047827","https://openalex.org/W3173964750","https://openalex.org/W3174691968","https://openalex.org/W3212858917","https://openalex.org/W4295690993","https://openalex.org/W4297399639","https://openalex.org/W4297965247","https://openalex.org/W4321229682","https://openalex.org/W4385245566","https://openalex.org/W6631190155","https://openalex.org/W6754823837","https://openalex.org/W6760497447","https://openalex.org/W6777394902","https://openalex.org/W6782159322","https://openalex.org/W6842829085"],"related_works":["https://openalex.org/W2251351510","https://openalex.org/W2954843021","https://openalex.org/W2339319059","https://openalex.org/W2394022102","https://openalex.org/W4385482961","https://openalex.org/W4377820916","https://openalex.org/W150863218","https://openalex.org/W2010904012","https://openalex.org/W3114114934","https://openalex.org/W3164301716"],"abstract_inverted_index":{"Document-level":[0],"event":[1,8,15,39],"extraction":[2,16,40],"(DEE)":[3],"aims":[4],"to":[5,91,100,132],"extract":[6,147],"structured":[7],"information":[9,99],"from":[10],"a":[11,76,129],"document.":[12],"Previous":[13],"document-level":[14],"methods":[17],"relied":[18],"on":[19,69],"trigger":[20,120,150],"annotation,":[21],"which":[22,58],"was":[23],"very":[24,124],"expensive":[25],"and":[26,55,88,97,152],"time-consuming.":[27],"In":[28,81],"addition,":[29],"entity":[30,53],"representation":[31,61],"plays":[32],"an":[33,86,112,117],"important":[34],"role":[35,115],"in":[36,66,116],"the":[37,46,60,70,103,141],"overall":[38],"task,":[41],"but":[42,119],"we":[43,74,84,127],"found":[44],"that":[45],"previous":[47,142],"work":[48],"could":[49],"not":[50],"effectively":[51],"use":[52,94],"abbreviations":[54,96],"coreference":[56,98],"information,":[57],"limited":[59],"ability":[62,105],"of":[63,95,106],"event-related":[64,107],"entities":[65],"documents.":[67],"Based":[68],"above":[71],"two":[72],"aspects,":[73],"propose":[75,85,128],"new":[77,130],"model":[78],"named":[79],"TFECI.":[80],"our":[82,144],"model,":[83],"efficient":[87],"effective":[89],"method":[90],"make":[92],"full":[93],"better":[101],"exert":[102],"representational":[104],"entities.":[108],"Besides,":[109],"triggers":[110],"play":[111],"extremely":[113],"central":[114],"event,":[118],"annotation":[121,151],"is":[122],"often":[123],"difficult,":[125],"so":[126],"strategy":[131],"select":[133],"pseudo-trigger":[134],"automatically.":[135],"Experiments":[136],"show":[137],"that,":[138],"compared":[139],"with":[140],"system,":[143],"system":[145],"can":[146],"events":[148],"without":[149],"achieve":[153],"competitive":[154],"results.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}