{"id":"https://openalex.org/W2798563357","doi":"https://doi.org/10.18653/v1/p18-1048","title":"Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection","display_name":"Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2798563357","doi":"https://doi.org/10.18653/v1/p18-1048","mag":"2798563357"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p18-1048","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1048","pdf_url":"https://www.aclweb.org/anthology/P18-1048.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P18-1048.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100609882","display_name":"Yu Hong","orcid":"https://orcid.org/0000-0003-0606-3718"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Yu Hong","raw_affiliation_strings":["Institute of Artificial Intelligence, Soochow University","School of Computer Science and Technology, Soochow University No.1, Shizi ST, Suzhou, China, 215006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Soochow University","institution_ids":["https://openalex.org/I4210105595"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University No.1, Shizi ST, Suzhou, China, 215006","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080937886","display_name":"Wenxuan Zhou","orcid":"https://orcid.org/0000-0003-1199-885X"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Wenxuan Zhou","raw_affiliation_strings":["Institute of Artificial Intelligence, Soochow University","School of Computer Science and Technology, Soochow University No.1, Shizi ST, Suzhou, China, 215006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Soochow University","institution_ids":["https://openalex.org/I4210105595"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University No.1, Shizi ST, Suzhou, China, 215006","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100677416","display_name":"Jingli Zhang","orcid":"https://orcid.org/0009-0004-0978-5681"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Jingli Zhang","raw_affiliation_strings":["Institute of Artificial Intelligence, Soochow University","School of Computer Science and Technology, Soochow University No.1, Shizi ST, Suzhou, China, 215006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Soochow University","institution_ids":["https://openalex.org/I4210105595"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University No.1, Shizi ST, Suzhou, China, 215006","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012794465","display_name":"Guodong Zhou","orcid":"https://orcid.org/0000-0002-7887-5099"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Guodong Zhou","raw_affiliation_strings":["Institute of Artificial Intelligence, Soochow University","School of Computer Science and Technology, Soochow University No.1, Shizi ST, Suzhou, China, 215006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Soochow University","institution_ids":["https://openalex.org/I4210105595"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University No.1, Shizi ST, Suzhou, China, 215006","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102065469","display_name":"Qiaoming Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I4210105595","display_name":"Institute of Art","ror":"https://ror.org/017fyx225","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210105595","https://openalex.org/I99542240"]}],"countries":["CN","PL"],"is_corresponding":false,"raw_author_name":"Qiaoming Zhu","raw_affiliation_strings":["Institute of Artificial Intelligence, Soochow University","School of Computer Science and Technology, Soochow University No.1, Shizi ST, Suzhou, China, 215006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Soochow University","institution_ids":["https://openalex.org/I4210105595"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University No.1, Shizi ST, Suzhou, China, 215006","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":67,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"515","last_page":"526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9994000196456909,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9975000023841858,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/spurious-relationship","display_name":"Spurious relationship","score":0.8785507082939148},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7972990870475769},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6874730587005615},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6593554019927979},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6353580951690674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6328551769256592},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6045083403587341},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.6024800539016724},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.4964204430580139},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4705272912979126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4646802246570587},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4323863685131073},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4105141758918762},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3990303874015808},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.28257110714912415}],"concepts":[{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.8785507082939148},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7972990870475769},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6874730587005615},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6593554019927979},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6353580951690674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6328551769256592},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6045083403587341},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.6024800539016724},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.4964204430580139},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4705272912979126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4646802246570587},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4323863685131073},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4105141758918762},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3990303874015808},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28257110714912415},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p18-1048","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1048","pdf_url":"https://www.aclweb.org/anthology/P18-1048.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p18-1048","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p18-1048","pdf_url":"https://www.aclweb.org/anthology/P18-1048.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 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3821383714","display_name":null,"funder_award_id":"61751206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4241254100","display_name":null,"funder_award_id":"61525205","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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798563357.pdf","grobid_xml":"https://content.openalex.org/works/W2798563357.grobid-xml"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W581956982","https://openalex.org/W1904365287","https://openalex.org/W1924770834","https://openalex.org/W1940872118","https://openalex.org/W2072628044","https://openalex.org/W2106390255","https://openalex.org/W2108743083","https://openalex.org/W2117130368","https://openalex.org/W2130714105","https://openalex.org/W2130942839","https://openalex.org/W2131774270","https://openalex.org/W2134486566","https://openalex.org/W2136502946","https://openalex.org/W2141599568","https://openalex.org/W2155169782","https://openalex.org/W2158108973","https://openalex.org/W2158139315","https://openalex.org/W2164343063","https://openalex.org/W2165962657","https://openalex.org/W2183649036","https://openalex.org/W2185615741","https://openalex.org/W2250575108","https://openalex.org/W2250646484","https://openalex.org/W2250999640","https://openalex.org/W2400323222","https://openalex.org/W2402871509","https://openalex.org/W2407338347","https://openalex.org/W2475245295","https://openalex.org/W2508618307","https://openalex.org/W2511131004","https://openalex.org/W2512522169","https://openalex.org/W2512531235","https://openalex.org/W2542835211","https://openalex.org/W2562564313","https://openalex.org/W2566266660","https://openalex.org/W2566832195","https://openalex.org/W2571960339","https://openalex.org/W2597655663","https://openalex.org/W2618285232","https://openalex.org/W2739918945","https://openalex.org/W2740134894","https://openalex.org/W2805545340","https://openalex.org/W2807345617","https://openalex.org/W2807441601","https://openalex.org/W2915114476","https://openalex.org/W2953127297","https://openalex.org/W2962897020","https://openalex.org/W2962911678","https://openalex.org/W2963784072","https://openalex.org/W2964268978","https://openalex.org/W4285719527","https://openalex.org/W4294149591","https://openalex.org/W4320013936"],"related_works":["https://openalex.org/W2162899405","https://openalex.org/W3113091479","https://openalex.org/W941090075","https://openalex.org/W3134374554","https://openalex.org/W2044987316","https://openalex.org/W2237480245","https://openalex.org/W4311248832","https://openalex.org/W1670421514","https://openalex.org/W4385421777","https://openalex.org/W2971552217"],"abstract_inverted_index":{"Due":[0],"to":[1,25,60,72],"the":[2,65,74,79],"ability":[3],"of":[4],"encoding":[5],"and":[6,82,94],"mapping":[7],"semantic":[8],"information":[9],"into":[10],"a":[11,26,31,50,56,69],"highdimensional":[12],"latent":[13],"feature":[14,32],"space,":[15],"neural":[16],"networks":[17],"have":[18],"been":[19],"successfully":[20],"used":[21],"for":[22],"detecting":[23],"events":[24],"certain":[27],"extent.":[28],"However,":[29],"such":[30],"space":[33],"can":[34],"be":[35],"easily":[36],"contaminated":[37],"by":[38,54],"spurious":[39,62],"features":[40],"inherent":[41],"in":[42],"event":[43],"detection.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48,67],"propose":[49],"self-regulated":[51],"learning":[52],"approach":[53],"utilizing":[55],"generative":[57],"adversarial":[58],"network":[59,71],"generate":[61],"features.":[63],"On":[64],"basis,":[66],"employ":[68],"recurrent":[70],"eliminate":[73],"fakes.":[75],"Detailed":[76],"experiments":[77],"on":[78],"ACE":[80],"2005":[81],"TAC-KBP":[83],"2015":[84],"corpora":[85],"show":[86],"that":[87],"our":[88],"proposed":[89],"method":[90],"is":[91],"highly":[92],"effective":[93],"adaptable.":[95]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":11}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}