{"id":"https://openalex.org/W4406611344","doi":"https://doi.org/10.1109/smc54092.2024.10831117","title":"SMGC-SBERT: A Multi-Feature Fusion Chinese Short Text Similarity Computation Model Based on Optimised SBERT","display_name":"SMGC-SBERT: A Multi-Feature Fusion Chinese Short Text Similarity Computation Model Based on Optimised SBERT","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406611344","doi":"https://doi.org/10.1109/smc54092.2024.10831117"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5087911800","display_name":"Shuo Zhao","orcid":"https://orcid.org/0000-0003-0537-8531"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Zhao","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111319776","display_name":"Qiliang Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiliang Gu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103091680","display_name":"Jianqiang Zhang","orcid":"https://orcid.org/0000-0003-0912-2082"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Zhang","raw_affiliation_strings":["Shandong Branch of China Mobile Communication Group Design Institute Co.,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Branch of China Mobile Communication Group Design Institute Co.,Jinan,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102703948","display_name":"Gongpeng Song","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongpeng Song","raw_affiliation_strings":["Shandong Branch of China Mobile Communication Group Design Institute Co.,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shandong Branch of China Mobile Communication Group Design Institute Co.,Jinan,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016391596","display_name":"Qin Lu","orcid":"https://orcid.org/0000-0002-9092-2476"},"institutions":[{"id":"https://openalex.org/I152269853","display_name":"Qilu University of Technology","ror":"https://ror.org/04hyzq608","country_code":"CN","type":"education","lineage":["https://openalex.org/I152269853"]},{"id":"https://openalex.org/I4210142748","display_name":"Shandong Academy of Sciences","ror":"https://ror.org/04y8d6y55","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Lu","raw_affiliation_strings":["Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center,Jinan,China","institution_ids":["https://openalex.org/I152269853","https://openalex.org/I4210142748"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28870465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3091","last_page":"3096"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.8672999739646912,"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":0.8672999739646912,"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":0.8206999897956848,"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":0.8190000057220459,"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":0.70588219165802},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6447833776473999},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6126747727394104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5791521668434143},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5167290568351746},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4902549088001251},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43146347999572754},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3559790849685669},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2840988039970398}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.70588219165802},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6447833776473999},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6126747727394104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5791521668434143},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5167290568351746},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4902549088001251},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43146347999572754},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3559790849685669},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2840988039970398},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W2970641574","https://openalex.org/W3042631625","https://openalex.org/W3129048826","https://openalex.org/W4206693003","https://openalex.org/W4210907736","https://openalex.org/W4220797652","https://openalex.org/W4220863817","https://openalex.org/W4225091948","https://openalex.org/W4226086464","https://openalex.org/W4289323557","https://openalex.org/W4291801891","https://openalex.org/W4304194194","https://openalex.org/W4311298696","https://openalex.org/W4313315612","https://openalex.org/W4360980419","https://openalex.org/W4367016395","https://openalex.org/W4367677438","https://openalex.org/W4384824496","https://openalex.org/W4385572043","https://openalex.org/W4385881900"],"related_works":["https://openalex.org/W4231775656","https://openalex.org/W2046435967","https://openalex.org/W2383646825","https://openalex.org/W2371018915","https://openalex.org/W2375480909","https://openalex.org/W2354191502","https://openalex.org/W1972225038","https://openalex.org/W2353314428","https://openalex.org/W3134658850","https://openalex.org/W2012019886"],"abstract_inverted_index":{"Chinese":[0,65,204],"short":[1,66,175,205],"text":[2,67,176,206],"similarity":[3,68,94,177],"computation":[4,69],"stands":[5],"as":[6,29],"a":[7,82,88,167],"pivotal":[8],"task":[9],"within":[10],"natural":[11],"language":[12],"processing,":[13],"garnering":[14],"significant":[15,197],"attention.":[16],"However,":[17],"existing":[18,78],"models":[19,79],"grapple":[20],"with":[21],"limitations":[22],"in":[23,37,40],"handling":[24],"intricate":[25],"semantic":[26,35,46,93,106,126],"relationships,":[27],"such":[28],"the":[30,49,77,98,110,117,129,142,151,185,188],"challenge":[31],"of":[32,45,76,92,120,131,144,187],"discerning":[33],"subtle":[34],"nuances":[36],"text,":[38,115],"inadequacies":[39],"effectively":[41],"integrating":[42],"diverse":[43],"levels":[44],"information,":[47],"and":[48,108,123,138,164,202],"struggle":[50],"to":[51,103,113,156],"capture":[52],"polysemous":[53],"meanings":[54],"accurately.":[55],"In":[56],"addressing":[57],"these":[58],"issues,":[59],"this":[60],"paper":[61],"introduces":[62],"an":[63],"innovative":[64],"model,":[70],"SMGC-SBERT.":[71],"This":[72],"model":[73,99,112,190],"addresses":[74],"shortcomings":[75],"by":[80],"employing":[81],"multi-module":[83],"fusion":[84,130],"strategy,":[85],"thereby":[86],"enabling":[87],"more":[89],"precise":[90],"measurement":[91],"between":[95],"texts.":[96],"Primarily,":[97],"incorporates":[100],"SAT":[101],"embedding":[102],"acquire":[104],"phrase-level":[105],"information":[107],"leverages":[109],"MS-BERT":[111],"encode":[114],"improving":[116,162],"model's":[118,152],"comprehension":[119],"textual":[121,145],"polysemy":[122],"obtaining":[124],"richer":[125],"representation.":[127],"Then,":[128],"module":[132],"features,":[133],"including":[134],"multi-branch":[135],"convolutional":[136],"networks":[137],"mix":[139],"pooling,":[140],"enables":[141],"extraction":[143],"features":[146],"from":[147],"varied":[148],"levels,":[149],"bolstering":[150],"representational":[153],"capacity.":[154],"Additionally,":[155],"further":[157],"reduce":[158],"overfitting":[159],"risks":[160],"while":[161],"accuracy":[163],"other":[165,192],"performance,":[166],"multi-layer":[168],"feature":[169],"adjustment":[170],"network":[171,194],"is":[172],"utilized":[173],"for":[174],"calculation.":[178],"The":[179],"final":[180],"resultant":[181],"experimental":[182],"findings":[183],"showcase":[184],"superiority":[186],"SMGC-SBERT":[189],"over":[191],"neural":[193],"models,":[195],"demonstrating":[196],"advancements":[198],"across":[199],"both":[200],"Chinese-SNLI":[201],"CCKS2018_Task3":[203],"datasets.":[207]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
