{"id":"https://openalex.org/W4409368044","doi":"https://doi.org/10.3390/sym17040585","title":"Semantic Matching for Chinese Language Approach Using Refined Contextual Features and Sentence\u2013Subject Interaction","display_name":"Semantic Matching for Chinese Language Approach Using Refined Contextual Features and Sentence\u2013Subject Interaction","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409368044","doi":"https://doi.org/10.3390/sym17040585"},"language":"en","primary_location":{"id":"doi:10.3390/sym17040585","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17040585","pdf_url":"https://www.mdpi.com/2073-8994/17/4/585/pdf?version=1744366250","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/4/585/pdf?version=1744366250","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017323936","display_name":"Peng Jiang","orcid":"https://orcid.org/0000-0002-4938-6245"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Jiang","raw_affiliation_strings":["School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101800421","display_name":"Xiaodong Cai","orcid":"https://orcid.org/0000-0002-6314-5288"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaodong Cai","raw_affiliation_strings":["School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101800421"],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03562405,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":"4","first_page":"585","last_page":"585"},"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9988999962806702,"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":0.7673653364181519},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6827268004417419},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6099968552589417},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.6064164638519287},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.5754708051681519},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5691437125205994},{"id":"https://openalex.org/keywords/semantic-matching","display_name":"Semantic matching","score":0.45662176609039307},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.36044904589653015},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13325709104537964},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09053754806518555},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08775505423545837}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7673653364181519},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6827268004417419},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6099968552589417},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.6064164638519287},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.5754708051681519},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5691437125205994},{"id":"https://openalex.org/C2778493491","wikidata":"https://www.wikidata.org/wiki/Q7449072","display_name":"Semantic matching","level":3,"score":0.45662176609039307},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.36044904589653015},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13325709104537964},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09053754806518555},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08775505423545837},{"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:10.3390/sym17040585","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17040585","pdf_url":"https://www.mdpi.com/2073-8994/17/4/585/pdf?version=1744366250","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17040585","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17040585","pdf_url":"https://www.mdpi.com/2073-8994/17/4/585/pdf?version=1744366250","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409368044.pdf","grobid_xml":"https://content.openalex.org/works/W4409368044.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1832693441","https://openalex.org/W1882958252","https://openalex.org/W2073916844","https://openalex.org/W2593833795","https://openalex.org/W2901801467","https://openalex.org/W2952370363","https://openalex.org/W3173601785","https://openalex.org/W3173647480","https://openalex.org/W3200275576","https://openalex.org/W4220863817","https://openalex.org/W4226208236","https://openalex.org/W4307536318","https://openalex.org/W4320517096","https://openalex.org/W4327644056","https://openalex.org/W4360619006","https://openalex.org/W4385482618","https://openalex.org/W4385565472","https://openalex.org/W4385570635","https://openalex.org/W4387818236","https://openalex.org/W4388743339","https://openalex.org/W4396982340","https://openalex.org/W6600141077","https://openalex.org/W6761337537","https://openalex.org/W6846149936"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4388258507","https://openalex.org/W2392013855","https://openalex.org/W4318064328","https://openalex.org/W2357926602","https://openalex.org/W3177209944","https://openalex.org/W1986106996","https://openalex.org/W4285012873","https://openalex.org/W2122517733","https://openalex.org/W4379525811"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,8,41,50,54,81,102,115,120,124,135,138,150,156,169,172,175,179,197,200,203,215,222,228],"problems":[3],"of":[4,10,53,174,199,239,245],"noise":[5,51,62,92],"interference":[6],"and":[7,34,60,84,90,143,178,206,210,219,231,235],"lack":[9],"information":[11],"on":[12,45,114,202,214,221,227],"sentence\u2013subject":[13,35],"interactions":[14],"in":[15,137,149],"Chinese":[16],"matching":[17,28,157],"models,":[18],"which":[19,72,129,240],"lead":[20],"to":[21,48,87,94,118,123,154,167,189,243],"their":[22,185],"low":[23],"accuracy,":[24],"a":[25,67,77,109],"new":[26],"semantic":[27],"method":[29,42,201],"using":[30],"fine-grained":[31],"context":[32,69,98,126,142,177],"features":[33,93,136],"interaction":[36,111,132],"is":[37],"designed.":[38],"Compared":[39],"with":[40],"that":[43,184,196],"relies":[44],"noisy":[46],"data":[47,58],"improve":[49],"resistance":[52],"model,":[55],"we":[56,106],"introduce":[57],"pollution":[59],"imprecise":[61],"processing.":[63],"We":[64],"also":[65],"design":[66],"novel":[68],"refinement":[70],"strategy,":[71],"uses":[73,163],"dot":[74],"product":[75],"attention,":[76],"gradient":[78],"reversal":[79],"layer,":[80],"Softmax":[82],"function,":[83],"projection":[85,116],"theorem":[86,117],"accurately":[88],"identify":[89],"eliminate":[91],"obtain":[95],"high-quality":[96],"refined":[97,125,141,176],"features,":[99],"effectively":[100],"overcoming":[101],"above":[103],"shortcomings.":[104],"Then,":[105],"innovatively":[107],"use":[108],"one-way":[110],"strategy":[112],"based":[113],"map":[119],"sentence":[121],"subject":[122],"feature":[127],"space,":[128],"produces":[130],"effective":[131],"ability":[133],"between":[134,171],"model.":[139],"The":[140,192,225],"sentence\u2019s":[144,180],"main":[145,181],"idea":[146,182],"are":[147,187,208,233,241],"fused":[148],"final":[151],"prediction":[152],"stage":[153],"compute":[155],"result.":[158],"In":[159],"addition,":[160],"this":[161],"study":[162],"Kullback\u2013Leibler":[164],"divergence":[165],"scatter":[166],"optimize":[168],"distance":[170],"distributions":[173,186],"so":[183],"closer":[188],"each":[190],"other.":[191],"experimental":[193],"results":[194],"show":[195],"accuracy":[198],"PAWS":[204],"dataset":[205,230],"F1":[207],"87.65%":[209],"86.51%,":[211],"respectively;":[212],"80.51%":[213],"Ant":[216],"Financial":[217],"dataset,":[218],"85.29%":[220],"BQ":[223],"dataset.":[224],"accuracies":[226],"Medic-SM":[229],"Macro-F1":[232],"74.69%":[234],"74%":[236],"respectively,":[237],"both":[238],"superior":[242],"those":[244],"other":[246],"methods.":[247]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}