{"id":"https://openalex.org/W4409152479","doi":"https://doi.org/10.26599/bdma.2024.9020096","title":"Disentangling Reasoning Factors for Natural Language Inference","display_name":"Disentangling Reasoning Factors for Natural Language Inference","publication_year":2025,"publication_date":"2025-04-04","ids":{"openalex":"https://openalex.org/W4409152479","doi":"https://doi.org/10.26599/bdma.2024.9020096"},"language":"en","primary_location":{"id":"doi:10.26599/bdma.2024.9020096","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2024.9020096","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/bdma.2024.9020096","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101612611","display_name":"Xixi Zhou","orcid":"https://orcid.org/0000-0003-0389-3994"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I4210166576","display_name":"First Affiliated Hospital Zhejiang University","ror":"https://ror.org/05m1p5x56","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210166576"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xixi Zhou","raw_affiliation_strings":["The First Affiliated Hospital, Zhejiang University, School of Medicine,Department of Radiology,Hangzhou,China,310003"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital, Zhejiang University, School of Medicine,Department of Radiology,Hangzhou,China,310003","institution_ids":["https://openalex.org/I76130692","https://openalex.org/I4210166576"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021112220","display_name":"Limin Zeng","orcid":"https://orcid.org/0000-0003-1009-7603"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limin Zeng","raw_affiliation_strings":["College of Computer Science, Zhejiang University,Zhejiang Provincial Key Laboratory of Service Robot,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University,Zhejiang Provincial Key Laboratory of Service Robot,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052655362","display_name":"Ziping Zhao","orcid":"https://orcid.org/0000-0002-8719-6389"},"institutions":[{"id":"https://openalex.org/I15062923","display_name":"Tianjin Normal University","ror":"https://ror.org/05x2td559","country_code":"CN","type":"education","lineage":["https://openalex.org/I15062923"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziping Zhao","raw_affiliation_strings":["College of Computer Science, Tianjin Normal University,Tianjin,China,300387"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Tianjin Normal University,Tianjin,China,300387","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016104855","display_name":"Jiajun Bu","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Bu","raw_affiliation_strings":["College of Computer Science, Zhejiang University,Zhejiang Provincial Key Laboratory of Service Robot,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University,Zhejiang Provincial Key Laboratory of Service Robot,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086908934","display_name":"Wenjie Liang","orcid":"https://orcid.org/0000-0002-2741-8285"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I4210166576","display_name":"First Affiliated Hospital Zhejiang University","ror":"https://ror.org/05m1p5x56","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210166576"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Liang","raw_affiliation_strings":["The First Affiliated Hospital, Zhejiang University, School of Medicine,Department of Radiology,Hangzhou,China,310003"],"affiliations":[{"raw_affiliation_string":"The First Affiliated Hospital, Zhejiang University, School of Medicine,Department of Radiology,Hangzhou,China,310003","institution_ids":["https://openalex.org/I76130692","https://openalex.org/I4210166576"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047118636","display_name":"Haishuai Wang","orcid":"https://orcid.org/0000-0003-1617-0920"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haishuai Wang","raw_affiliation_strings":["College of Computer Science, Zhejiang University,Zhejiang Provincial Key Laboratory of Service Robot,Hangzhou,China,310027"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Zhejiang University,Zhejiang Provincial Key Laboratory of Service Robot,Hangzhou,China,310027","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101612611"],"corresponding_institution_ids":["https://openalex.org/I4210166576","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03198181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"3","first_page":"694","last_page":"711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.7581999897956848,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.7581999897956848,"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/inference","display_name":"Inference","score":0.6514388918876648},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.504970133304596},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46366551518440247},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.457935094833374},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.39737945795059204},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3969586193561554},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.3436567783355713},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3414383828639984},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.13464808464050293},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.11511579155921936}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6514388918876648},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.504970133304596},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46366551518440247},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.457935094833374},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.39737945795059204},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3969586193561554},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.3436567783355713},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3414383828639984},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.13464808464050293},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.11511579155921936},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/bdma.2024.9020096","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2024.9020096","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:07249ebf86b947a598e55bda2c3c8dbd","is_oa":true,"landing_page_url":"https://doaj.org/article/07249ebf86b947a598e55bda2c3c8dbd","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data Mining and Analytics, Vol 8, Iss 3, Pp 694-711 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/bdma.2024.9020096","is_oa":true,"landing_page_url":"https://doi.org/10.26599/bdma.2024.9020096","pdf_url":null,"source":{"id":"https://openalex.org/S4210209060","display_name":"Big Data Mining and Analytics","issn_l":"2096-0654","issn":["2096-0654"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311901","host_organization_name":"Tsinghua University Press","host_organization_lineage":["https://openalex.org/P4310311901"],"host_organization_lineage_names":["Tsinghua University Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data Mining and Analytics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5154937175","display_name":null,"funder_award_id":"62202422,62071330","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G559437720","display_name":null,"funder_award_id":"ZR2021MH227","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8517780032","display_name":null,"funder_award_id":"2022ZD0160703","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W1840435438","https://openalex.org/W1981174195","https://openalex.org/W2060841334","https://openalex.org/W2066770300","https://openalex.org/W2143891888","https://openalex.org/W2163922914","https://openalex.org/W2250539671","https://openalex.org/W2265289447","https://openalex.org/W2294860948","https://openalex.org/W2508865106","https://openalex.org/W2608787653","https://openalex.org/W2953075226","https://openalex.org/W2962736243","https://openalex.org/W2963241825","https://openalex.org/W2963341956","https://openalex.org/W2963846996","https://openalex.org/W2963918774","https://openalex.org/W2964082993","https://openalex.org/W2970641574","https://openalex.org/W3034850762","https://openalex.org/W3166542014","https://openalex.org/W3169346140","https://openalex.org/W3169938245","https://openalex.org/W3174004012","https://openalex.org/W3176014467","https://openalex.org/W3176726917","https://openalex.org/W3199573229","https://openalex.org/W4213090352","https://openalex.org/W4213448193","https://openalex.org/W4221158047","https://openalex.org/W4224903957","https://openalex.org/W4226208236","https://openalex.org/W4232613155","https://openalex.org/W4285278721","https://openalex.org/W4290943459","https://openalex.org/W4292787295","https://openalex.org/W4295934584","https://openalex.org/W4310203557","https://openalex.org/W4367281801","https://openalex.org/W4385565400","https://openalex.org/W4385570415","https://openalex.org/W4385570870","https://openalex.org/W4386566426","https://openalex.org/W4392909668","https://openalex.org/W4396844322","https://openalex.org/W4400529597","https://openalex.org/W4401042111","https://openalex.org/W4401042607","https://openalex.org/W4402667012","https://openalex.org/W6679344019","https://openalex.org/W6682691769","https://openalex.org/W6683018296","https://openalex.org/W6685160515","https://openalex.org/W6717434760","https://openalex.org/W6743583902","https://openalex.org/W6752051073","https://openalex.org/W6754278344","https://openalex.org/W6756663807","https://openalex.org/W6757445682","https://openalex.org/W6762796984","https://openalex.org/W6768219389","https://openalex.org/W6771430711","https://openalex.org/W6779068807","https://openalex.org/W6784001418","https://openalex.org/W6790920850","https://openalex.org/W6803240769","https://openalex.org/W6803924141","https://openalex.org/W6982029242"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W4283262748","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W4321636575","https://openalex.org/W2741131631","https://openalex.org/W2045526782","https://openalex.org/W4405841813","https://openalex.org/W2156919374","https://openalex.org/W1483472507"],"abstract_inverted_index":{"Natural":[0,153,158,164],"Language":[1,154,159,165],"Inference":[2,155,160,166],"(NLI)":[3],"seeks":[4],"to":[5,38,141],"deduce":[6],"the":[7,34,45,48,52,56,62,74,83,97,101,171,180,188],"relations":[8],"of":[9,47,64,86,104],"two":[10,18],"texts:":[11],"a":[12,15,132],"premise":[13,37],"and":[14,42,70,95,162],"hypothesis.":[16],"These":[17],"texts":[19],"may":[20],"share":[21],"similar":[22],"or":[23],"different":[24],"basic":[25,53,102],"contexts,":[26],"while":[27],"three":[28,148],"distinct":[29],"reasoning":[30,49,75,98,122],"factors":[31,123],"emerge":[32],"in":[33,55,90,128,145,193],"inference":[35],"from":[36,82,100],"hypothesis:":[39],"entailment,":[40],"neutrality,":[41],"contradiction.":[43],"However,":[44],"entanglement":[46],"factor":[50,99],"with":[51],"context":[54,103],"learned":[57],"representation":[58],"space":[59],"often":[60],"complicates":[61],"task":[63],"NLI":[65,105,134,194],"models,":[66],"hindering":[67],"accurate":[68],"classification":[69],"determination":[71],"based":[72],"on":[73,147],"factors.":[76],"In":[77],"this":[78],"study,":[79],"drawing":[80],"inspiration":[81],"successful":[84],"application":[85],"disentangled":[87],"variational":[88,109],"autoencoders":[89],"other":[91],"areas,":[92],"we":[93,112],"separate":[94],"extract":[96],"data":[106],"through":[107],"latent":[108],"inference.":[110],"Meanwhile,":[111],"employ":[113],"mutual":[114],"information":[115],"estimation":[116],"when":[117],"optimizing":[118],"Variational":[119],"AutoEncoders":[120],"(VAE)-disentangled":[121],"further.":[124],"Leveraging":[125],"disentanglement":[126],"optimization":[127],"NLI,":[129],"our":[130,184],"proposed":[131],"Directed":[133],"(DNLI)":[135],"model":[136],"demonstrates":[137],"excellent":[138],"performance":[139],"compared":[140],"state-of-the-art":[142],"baseline":[143],"models":[144],"experiments":[146],"widely":[149],"used":[150],"datasets:":[151],"Stanford":[152],"(SNLI),":[156],"Multi-genre":[157],"(MNLI),":[161],"Adversarial":[163],"(ANLI).":[167],"It":[168],"particularly":[169],"achieves":[170],"best":[172],"average":[173],"validation":[174],"scores,":[175],"showing":[176],"significant":[177],"improvements":[178],"over":[179],"second-best":[181],"models.":[182],"Notably,":[183],"approach":[185],"effectively":[186],"addresses":[187],"interpretability":[189],"challenges":[190],"commonly":[191],"encountered":[192],"methods.":[195]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}