{"id":"https://openalex.org/W2808599461","doi":"https://doi.org/10.24963/ijcai.2018/597","title":"Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification","display_name":"Event Factuality Identification via Generative Adversarial Networks with Auxiliary Classification","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2808599461","doi":"https://doi.org/10.24963/ijcai.2018/597","mag":"2808599461"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2018/597","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/597","pdf_url":"https://www.ijcai.org/proceedings/2018/0597.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2018/0597.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042912655","display_name":"Qian Zhong","orcid":"https://orcid.org/0000-0001-7651-7872"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhong Qian","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100695549","display_name":"Peifeng Li","orcid":"https://orcid.org/0000-0003-4850-3128"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peifeng Li","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333738","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-6327-5023"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore","institution_ids":["https://openalex.org/I152815399"]}]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guodong Zhou","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoming Zhu","raw_affiliation_strings":["School of Computer Science and Technology, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5042912655"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":2.5377,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.9178975,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4293","last_page":"4300"},"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":0.9994999766349792,"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":0.996999979019165,"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":0.8123039603233337},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.785533607006073},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7835572957992554},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7007707953453064},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6920616030693054},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6828633546829224},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6480634212493896},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6323460340499878},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6210492849349976},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.44241511821746826},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.36026108264923096},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3264312148094177},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.048221200704574585}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8123039603233337},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.785533607006073},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7835572957992554},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7007707953453064},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6920616030693054},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6828633546829224},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6480634212493896},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6323460340499878},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6210492849349976},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.44241511821746826},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.36026108264923096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3264312148094177},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.048221200704574585},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2018/597","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/597","pdf_url":"https://www.ijcai.org/proceedings/2018/0597.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2018/597","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2018/597","pdf_url":"https://www.ijcai.org/proceedings/2018/0597.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.41999998688697815}],"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"}],"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/W2808599461.pdf","grobid_xml":"https://content.openalex.org/works/W2808599461.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W30314283","https://openalex.org/W61127029","https://openalex.org/W2006766484","https://openalex.org/W2006941876","https://openalex.org/W2027344326","https://openalex.org/W2032021697","https://openalex.org/W2109308402","https://openalex.org/W2113710975","https://openalex.org/W2137449855","https://openalex.org/W2147638277","https://openalex.org/W2153579005","https://openalex.org/W2251784184","https://openalex.org/W2262894244","https://openalex.org/W2336914761","https://openalex.org/W2397198482","https://openalex.org/W2513852635","https://openalex.org/W2517194566","https://openalex.org/W2523469089","https://openalex.org/W2559330952","https://openalex.org/W2563010554","https://openalex.org/W2579589574","https://openalex.org/W2598991778","https://openalex.org/W2613984776","https://openalex.org/W2624770008","https://openalex.org/W2741680176","https://openalex.org/W2950776302","https://openalex.org/W2963373786","https://openalex.org/W2963569749","https://openalex.org/W2963784525","https://openalex.org/W2964102772","https://openalex.org/W2964268978","https://openalex.org/W4294170691","https://openalex.org/W4300670972","https://openalex.org/W4320013936","https://openalex.org/W6712214111","https://openalex.org/W6732646104","https://openalex.org/W6791858558","https://openalex.org/W6863994431"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W2888032422","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W2996316059","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559"],"abstract_inverted_index":{"Event":[0],"factuality":[1,30,41,70,94],"identification":[2],"is":[3],"an":[4],"important":[5],"semantic":[6],"task":[7],"in":[8],"NLP.":[9],"Traditional":[10],"research":[11],"heavily":[12],"relies":[13],"on":[14,74,86],"annotated":[15],"texts.":[16],"This":[17],"paper":[18],"proposes":[19],"a":[20,45],"two-step":[21],"framework,":[22],"first":[23],"extracting":[24],"essential":[25],"factors":[26],"related":[27],"with":[28,49,88],"event":[29],"from":[31],"raw":[32],"texts":[33],"as":[34],"the":[35,40,58,67],"input,":[36],"and":[37,65,92],"then":[38],"identifying":[39],"of":[42,55],"events":[43,87],"via":[44],"Generative":[46],"Adversarial":[47],"Network":[48],"Auxiliary":[50],"Classification":[51],"(AC-GAN).":[52],"The":[53],"use":[54],"AC-GAN":[56],"allows":[57],"model":[59],"to":[60],"learn":[61],"more":[62],"syntactic":[63],"information":[64],"address":[66],"imbalance":[68],"among":[69],"values.":[71,95],"Experimental":[72],"results":[73],"FactBank":[75],"show":[76],"that":[77],"our":[78],"method":[79],"significantly":[80],"outperforms":[81],"several":[82],"state-of-the-art":[83],"baselines,":[84],"particularly":[85],"embedded":[89],"sources,":[90],"speculative":[91],"negative":[93]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
