{"id":"https://openalex.org/W4394712882","doi":"https://doi.org/10.1109/ricai60863.2023.10489156","title":"Multi-Feature Fusion Transformer for Natural Language Inference","display_name":"Multi-Feature Fusion Transformer for Natural Language Inference","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4394712882","doi":"https://doi.org/10.1109/ricai60863.2023.10489156"},"language":"en","primary_location":{"id":"doi:10.1109/ricai60863.2023.10489156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ricai60863.2023.10489156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5020310498","display_name":"Lei Sun","orcid":"https://orcid.org/0000-0002-2880-5623"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Sun","raw_affiliation_strings":["School of Electrical Engineering and Automation, Tianjin University of Technology,Tianj in Key Laboratory for Control Theory and Complicated Industry Systems,Tianjin,China","Tianj in Key Laboratory for Control Theory and Complicated Industry Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Tianjin University of Technology,Tianj in Key Laboratory for Control Theory and Complicated Industry Systems,Tianjin,China","institution_ids":["https://openalex.org/I136765683"]},{"raw_affiliation_string":"Tianj in Key Laboratory for Control Theory and Complicated Industry Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341802","display_name":"Xiang\u2010Yang Li","orcid":"https://orcid.org/0000-0002-6070-6625"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Li","raw_affiliation_strings":["School of Electrical Engineering and Automation, Tianjin University of Technology,Tianjin,China","School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Tianjin University of Technology,Tianjin,China","institution_ids":["https://openalex.org/I136765683"]},{"raw_affiliation_string":"School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001616651","display_name":"Hengxin Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengxin Yan","raw_affiliation_strings":["School of Electrical Engineering and Automation, Tianjin University of Technology,Tianjin,China","School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Tianjin University of Technology,Tianjin,China","institution_ids":["https://openalex.org/I136765683"]},{"raw_affiliation_string":"School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I136765683"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"545","last_page":"548"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.8434000015258789,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.8434000015258789,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.7549999952316284,"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":0.704200029373169,"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":0.7029111385345459},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.625880777835846},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.567839503288269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.517676830291748},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49436450004577637},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4723846912384033},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4350847005844116},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.431018590927124},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1139746904373169},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10826444625854492},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.09610557556152344},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07858020067214966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7029111385345459},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.625880777835846},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.567839503288269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517676830291748},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49436450004577637},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4723846912384033},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4350847005844116},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.431018590927124},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1139746904373169},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10826444625854492},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09610557556152344},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07858020067214966},{"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/ricai60863.2023.10489156","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ricai60863.2023.10489156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 5th International Conference on Robotics, Intelligent Control and Artificial Intelligence (RICAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1840435438","https://openalex.org/W2608787653","https://openalex.org/W2739716023","https://openalex.org/W2798416089","https://openalex.org/W2896457183","https://openalex.org/W2905016804","https://openalex.org/W2963846996","https://openalex.org/W3034520363","https://openalex.org/W3035290244","https://openalex.org/W3099023595","https://openalex.org/W4206706211","https://openalex.org/W4226512186","https://openalex.org/W4297803820"],"related_works":["https://openalex.org/W4381058564","https://openalex.org/W2964413124","https://openalex.org/W4206178588","https://openalex.org/W4287635093","https://openalex.org/W3094491777","https://openalex.org/W3214715529","https://openalex.org/W3157284875","https://openalex.org/W2259406085","https://openalex.org/W2099715052","https://openalex.org/W2147241511"],"abstract_inverted_index":{"Natural":[0,8],"Language":[1,9],"Inference":[2],"(NLI)":[3],"is":[4,15],"a":[5,84,99,109],"branch":[6],"of":[7,112,126,137,144,183],"Processing":[10],"(NLP)":[11],"whose":[12],"main":[13],"task":[14],"to":[16,29,59,77,102,161],"determine":[17],"the":[18,79,129,134,138,142,149,166,172,178],"relationship":[19],"between":[20],"two":[21],"sentences.":[22],"Such":[23],"tasks":[24],"essentially":[25],"use":[26],"pre-trained":[27],"models":[28,163],"ensure":[30,68],"accuracy,":[31],"and":[32,40,67,82,97,117,140,180,187],"many":[33,123],"applications":[34],"are":[35,50,56],"found":[36],"in":[37,44,171],"human-computer":[38],"dialog":[39],"question-answering":[41],"systems.":[42],"However,":[43],"some":[45],"cases":[46],"where":[47],"small":[48],"devices":[49],"deployed":[51],"offline,":[52],"lightweight":[53,135],"model":[54,93,139,155],"implementations":[55],"often":[57],"required":[58],"save":[60],"computational":[61],"resources.":[62],"To":[63],"address":[64],"this":[65,73],"problem":[66],"more":[69],"efficient":[70],"inference":[71,158],"capabilities,":[72],"paper":[74],"describes":[75],"how":[76],"improve":[78],"preexisting":[80],"Transformer":[81,87],"proposes":[83],"Multi-Feature":[85],"Fusion":[86],"Network":[88],"for":[89,122,165],"NLI":[90],"processing.":[91],"The":[92,169],"integrates":[94],"sequence":[95,113],"features":[96],"introduces":[98],"priori":[100],"information":[101],"enhance":[103],"local":[104,115],"features.":[105],"It":[106],"also":[107],"achieves":[108],"comprehensive":[110],"fusion":[111],"information,":[114],"features,":[116,119],"non-local":[118],"thus":[120],"compensating":[121],"potential":[124],"shortcomings":[125],"Transformer.":[127],"At":[128],"same":[130,167],"time,":[131],"it":[132],"maintains":[133],"feature":[136],"facilitates":[141],"implementation":[143],"downstream":[145],"tasks.":[146],"We":[147],"verified":[148],"above":[150],"point":[151],"by":[152],"experiments,":[153],"our":[154],"has":[156],"better":[157],"performance":[159],"compared":[160],"previous":[162],"used":[164],"task.":[168],"accuracy":[170],"SNLI":[173],"dataset":[174],"reached":[175,185],"89.0%,":[176],"while":[177],"matched":[179],"mismatched":[181],"versions":[182],"MultiNLI":[184],"79.3%":[186],"78.7%.":[188]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}