{"id":"https://openalex.org/W4312412913","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892209","title":"Chinese Sentence-level Event Factuality Identification with Recursive Neural Network","display_name":"Chinese Sentence-level Event Factuality Identification with Recursive Neural Network","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4312412913","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892209"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892209","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5102018630","display_name":"Qingqing Yi","orcid":"https://orcid.org/0009-0004-6871-4787"},"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":"Qingqing Yi","raw_affiliation_strings":["Soochow University,School of Computer Science and Technology,Suzhou,China","School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Computer Science and Technology,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]},{"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/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":false,"raw_author_name":"Zhong Qian","raw_affiliation_strings":["Soochow University,School of Computer Science and Technology,Suzhou,China","School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Computer Science and Technology,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]},{"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":["Soochow University,School of Computer Science and Technology,Suzhou,China","School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Computer Science and Technology,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]},{"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":["Soochow University,School of Computer Science and Technology,Suzhou,China","School of Computer Science and Technology, Soochow University, Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Soochow University,School of Computer Science and Technology,Suzhou,China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Computer Science and Technology, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102018630"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14630468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"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":1.0,"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":1.0,"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9987999796867371,"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/sentence","display_name":"Sentence","score":0.7964183688163757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7953681945800781},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7784966230392456},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.7702693939208984},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6737079620361328},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6174387335777283},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5955132246017456},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5574952363967896},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49590596556663513},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.1521383821964264}],"concepts":[{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.7964183688163757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7953681945800781},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7784966230392456},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.7702693939208984},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6737079620361328},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6174387335777283},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5955132246017456},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5574952363967896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49590596556663513},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.1521383821964264},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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},{"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:10.1109/ijcnn55064.2022.9892209","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892209","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5799630334","display_name":null,"funder_award_id":"62006167,61836007","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":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W61127029","https://openalex.org/W1423339008","https://openalex.org/W1522301498","https://openalex.org/W1542291579","https://openalex.org/W1832693441","https://openalex.org/W2006766484","https://openalex.org/W2027344326","https://openalex.org/W2130237711","https://openalex.org/W2147638277","https://openalex.org/W2149557440","https://openalex.org/W2159981908","https://openalex.org/W2163922914","https://openalex.org/W2251161456","https://openalex.org/W2251784184","https://openalex.org/W2251898422","https://openalex.org/W2251939518","https://openalex.org/W2262894244","https://openalex.org/W2336914761","https://openalex.org/W2507296208","https://openalex.org/W2512780794","https://openalex.org/W2741358996","https://openalex.org/W2786300722","https://openalex.org/W2808599461","https://openalex.org/W2896457183","https://openalex.org/W2963154734","https://openalex.org/W2964074250","https://openalex.org/W2975195127","https://openalex.org/W2975666972","https://openalex.org/W3088209710","https://openalex.org/W3158069816","https://openalex.org/W4294170691","https://openalex.org/W4385245566","https://openalex.org/W6602518105","https://openalex.org/W6628124331","https://openalex.org/W6631190155","https://openalex.org/W6632261128","https://openalex.org/W6682691769","https://openalex.org/W6683602473","https://openalex.org/W6691459498","https://openalex.org/W6691910934","https://openalex.org/W6703594946","https://openalex.org/W6739901393","https://openalex.org/W6755207826","https://openalex.org/W6763879244","https://openalex.org/W6783340080"],"related_works":["https://openalex.org/W2067317451","https://openalex.org/W2154771632","https://openalex.org/W4211085505","https://openalex.org/W2375873920","https://openalex.org/W3122478268","https://openalex.org/W2084758217","https://openalex.org/W408804804","https://openalex.org/W4231021675","https://openalex.org/W2146114872","https://openalex.org/W2392060890"],"abstract_inverted_index":{"Sentence-level":[0],"event":[1,12,89,106,114,127],"factuality":[2,9,90,128],"identification":[3,91],"(SEFI)":[4],"aims":[5],"to":[6,44,116],"identify":[7],"the":[8,23,26,45,71,77,82,125],"of":[10,25,47],"an":[11],"presented":[13],"in":[14],"a":[15,87,99],"sentence.":[16],"Recent":[17],"neural":[18,101],"network-based":[19,102],"approaches":[20],"have":[21],"demonstrated":[22],"efficacy":[24],"shortest":[27],"dependency":[28,52,95],"path,":[29],"but":[30],"these":[31],"methods":[32,75],"lack":[33],"semantic":[34],"information":[35],"compared":[36],"with":[37],"continuous":[38],"text":[39],"fragments":[40],"and":[41,66,113],"may":[42],"lead":[43],"omission":[46],"useful":[48],"information.":[49,79],"In":[50],"addition,":[51],"paths":[53],"are":[54],"relatively":[55],"flat.":[56],"So":[57],"far,":[58],"most":[59],"previous":[60],"work":[61],"focused":[62],"on":[63,94,124],"English":[64],"datasets,":[65],"neglected":[67],"Chinese":[68,73,88,126],"tasks.":[69],"And":[70],"existing":[72],"SEFI":[74],"ignore":[76],"syntactic":[78],"To":[80],"overcome":[81],"above":[83],"issues,":[84],"we":[85],"propose":[86],"model":[92],"based":[93],"trees.":[96],"We":[97],"adopt":[98],"recursive":[100],"module":[103],"that":[104,131],"fuses":[105],"selected":[107],"predicates,":[108],"degree":[109],"words,":[110,112],"negative":[111],"triggers":[115],"capture":[117],"long-range":[118],"relations":[119],"among":[120],"them.":[121],"Experimental":[122],"results":[123],"corpus":[129],"show":[130],"our":[132],"proposed":[133],"method":[134],"outperforms":[135],"other":[136],"baselines.":[137]},"counts_by_year":[],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}