{"id":"https://openalex.org/W2952437275","doi":"https://doi.org/10.18653/v1/p19-1522","title":"Exploring Pre-trained Language Models for Event Extraction and Generation","display_name":"Exploring Pre-trained Language Models for Event Extraction and Generation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2952437275","doi":"https://doi.org/10.18653/v1/p19-1522","mag":"2952437275"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1522","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1522","pdf_url":"https://www.aclweb.org/anthology/P19-1522.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1522.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002854172","display_name":"Sen Yang","orcid":"https://orcid.org/0000-0003-3222-2268"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Yang","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039795290","display_name":"Dawei Feng","orcid":"https://orcid.org/0000-0002-7587-8905"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dawei Feng","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043045076","display_name":"Linbo Qiao","orcid":"https://orcid.org/0000-0002-8285-2738"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linbo Qiao","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033504019","display_name":"Zhigang Kan","orcid":"https://orcid.org/0000-0002-8929-1961"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhigang Kan","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100440903","display_name":"Dongsheng Li","orcid":"https://orcid.org/0000-0001-9743-2034"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Li","raw_affiliation_strings":["National University of Defense Technology, Changsha, China"],"affiliations":[{"raw_affiliation_string":"National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002854172"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":null,"apc_paid":null,"fwci":24.856,"has_fulltext":true,"cited_by_count":338,"citation_normalized_percentile":{"value":0.99616861,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5284","last_page":"5294"},"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":0.9991999864578247,"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":0.9905999898910522,"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":0.8151953220367432},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7408130168914795},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7169538140296936},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6643346548080444},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5779825448989868},{"id":"https://openalex.org/keywords/argument","display_name":"Argument (complex analysis)","score":0.5495072603225708},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5407441258430481},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4981398582458496},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44370728731155396},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41479790210723877},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.41424381732940674},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4127083718776703},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06800675392150879}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8151953220367432},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7408130168914795},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7169538140296936},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6643346548080444},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5779825448989868},{"id":"https://openalex.org/C98184364","wikidata":"https://www.wikidata.org/wiki/Q1780131","display_name":"Argument (complex analysis)","level":2,"score":0.5495072603225708},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5407441258430481},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4981398582458496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44370728731155396},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41479790210723877},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.41424381732940674},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4127083718776703},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06800675392150879},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1522","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1522","pdf_url":"https://www.aclweb.org/anthology/P19-1522.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1522","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1522","pdf_url":"https://www.aclweb.org/anthology/P19-1522.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3238016531","display_name":null,"funder_award_id":"18062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3668830066","display_name":null,"funder_award_id":"No.2018YFB0204300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4488484741","display_name":null,"funder_award_id":"2018YFB0204300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4765491843","display_name":null,"funder_award_id":"61872376","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8464254034","display_name":null,"funder_award_id":"61806216","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8863666567","display_name":null,"funder_award_id":"and No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2952437275.pdf","grobid_xml":"https://content.openalex.org/works/W2952437275.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1996787131","https://openalex.org/W2104012281","https://openalex.org/W2107598941","https://openalex.org/W2108743083","https://openalex.org/W2130714105","https://openalex.org/W2165962657","https://openalex.org/W2194775991","https://openalex.org/W2250575108","https://openalex.org/W2250999640","https://openalex.org/W2270070752","https://openalex.org/W2403680433","https://openalex.org/W2407338347","https://openalex.org/W2475245295","https://openalex.org/W2508618307","https://openalex.org/W2512522169","https://openalex.org/W2514651853","https://openalex.org/W2525778437","https://openalex.org/W2618285232","https://openalex.org/W2739918945","https://openalex.org/W2803884531","https://openalex.org/W2896457183","https://openalex.org/W2962739339","https://openalex.org/W2963018920","https://openalex.org/W2963026768","https://openalex.org/W2963341956","https://openalex.org/W2963473975","https://openalex.org/W2963748441","https://openalex.org/W2963756346","https://openalex.org/W4302343710"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W2081647779","https://openalex.org/W3170094116","https://openalex.org/W4205958290"],"abstract_inverted_index":{"Traditional":[0],"approaches":[1],"to":[2,19,28,55,71,83,143,152],"the":[3,29,39,57,63,73,98,102,131,137,146],"task":[4],"of":[5,31,68,75,140,149],"ACE":[6],"event":[7,32,46,52,132],"extraction":[8,33,53,108,114,133],"usually":[9],"depend":[10],"on":[11,101,130],"manually":[12],"annotated":[13],"data,":[14,78],"which":[15],"is":[16],"often":[17],"laborious":[18],"create":[20],"and":[21,91,145],"limited":[22],"in":[23,26,66],"size.":[24],"Therefore,":[25],"addition":[27],"difficulty":[30],"itself,":[34],"insufficient":[35,76],"training":[36,77],"data":[37,87],"hinders":[38],"learning":[40],"process":[41],"as":[42],"well.":[43],"To":[44],"promote":[45],"extraction,":[47],"we":[48,79],"first":[49],"propose":[50,80],"an":[51],"model":[54,109],"overcome":[56],"roles":[58],"overlap":[59],"problem":[60,74],"by":[61,88,96],"separating":[62],"argument":[64,150],"prediction":[65],"terms":[67],"roles.":[69],"Moreover,":[70],"address":[72],"a":[81],"method":[82,120],"automatically":[84],"generate":[85],"labeled":[86],"editing":[89],"prototypes":[90],"screen":[92],"out":[93],"generated":[94],"samples":[95],"ranking":[97],"quality.":[99],"Experiments":[100],"ACE2005":[103],"dataset":[104],"demonstrate":[105],"that":[106],"our":[107,118],"can":[110],"surpass":[111],"most":[112],"existing":[113],"methods.":[115],"Besides,":[116],"incorporating":[117],"generation":[119],"exhibits":[121],"further":[122],"significant":[123],"improvement.":[124],"It":[125],"obtains":[126],"new":[127],"state-of-the-art":[128],"results":[129],"task,":[134],"including":[135],"pushing":[136],"F1":[138,147],"score":[139,148],"trigger":[141],"classification":[142,151],"81.1%,":[144],"58.9%.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":31},{"year":2024,"cited_by_count":38},{"year":2023,"cited_by_count":95},{"year":2022,"cited_by_count":62},{"year":2021,"cited_by_count":74},{"year":2020,"cited_by_count":35},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
