{"id":"https://openalex.org/W4403487221","doi":"https://doi.org/10.3233/faia240926","title":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","display_name":"Comateformer: Combined Attention Transformer for Semantic Sentence Matching","publication_year":2024,"publication_date":"2024-10-16","ids":{"openalex":"https://openalex.org/W4403487221","doi":"https://doi.org/10.3233/faia240926"},"language":"en","primary_location":{"id":"doi:10.3233/faia240926","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240926","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240926","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240926","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100628410","display_name":"Bo Li","orcid":"https://orcid.org/0000-0001-5599-8857"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bo Li","raw_affiliation_strings":["Baidu Inc., Beijing, China","Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082613662","display_name":"Di Liang","orcid":"https://orcid.org/0000-0002-4921-0266"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Liang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078311122","display_name":"Zixin Zhang","orcid":"https://orcid.org/0000-0002-7582-4835"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]},{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixin Zhang","raw_affiliation_strings":["Baidu Inc., Beijing, China","Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Inc., Beijing, China","institution_ids":["https://openalex.org/I98301712"]},{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100628410"],"corresponding_institution_ids":["https://openalex.org/I98301712","https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":6.3715,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.97091286,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9986000061035156,"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/T13629","display_name":"Text Readability and Simplification","score":0.9796000123023987,"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/transformer","display_name":"Transformer","score":0.7769597768783569},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7084038853645325},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6858195662498474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5585263967514038},{"id":"https://openalex.org/keywords/phrase","display_name":"Phrase","score":0.5426422357559204},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5119181871414185},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.45601633191108704},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.43053334951400757},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06815546751022339}],"concepts":[{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.7769597768783569},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7084038853645325},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6858195662498474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5585263967514038},{"id":"https://openalex.org/C2776224158","wikidata":"https://www.wikidata.org/wiki/Q187931","display_name":"Phrase","level":2,"score":0.5426422357559204},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5119181871414185},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.45601633191108704},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.43053334951400757},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06815546751022339},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/faia240926","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240926","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240926","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:arXiv.org:2412.07220","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2412.07220","pdf_url":"https://arxiv.org/pdf/2412.07220","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.3233/faia240926","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia240926","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA240926","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403487221.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2039546652","https://openalex.org/W2012262991","https://openalex.org/W2373794620","https://openalex.org/W2060629350","https://openalex.org/W2357294589","https://openalex.org/W2386861027","https://openalex.org/W2349302580","https://openalex.org/W2375873920","https://openalex.org/W2390154576","https://openalex.org/W4281476908"],"abstract_inverted_index":{"The":[0],"Transformer-based":[1],"model":[2,77,85],"have":[3],"made":[4],"significant":[5],"strides":[6],"in":[7,56,67],"semantic":[8,74],"matching":[9,76],"tasks":[10],"by":[11],"capturing":[12],"connections":[13],"between":[14,34,156],"phrase":[15],"pairs.":[16],"However,":[17],"to":[18,28,40,59,117],"assess":[19],"the":[20,31,35,43,107,134,160],"relevance":[21],"of":[22,109,136,154,162],"sentence":[23,75],"pairs,":[24],"it":[25],"is":[26,38],"insufficient":[27],"just":[29],"examine":[30],"general":[32],"similarity":[33,137],"sentences.":[36,157],"It":[37],"crucial":[39],"also":[41],"consider":[42],"tiny":[44],"subtleties":[45],"that":[46,104,181],"differentiate":[47],"them":[48],"from":[49],"each":[50],"other.":[51],"Regrettably,":[52],"attention":[53,102],"softmax":[54],"operations":[55],"transformers":[57],"tend":[58],"miss":[60],"these":[61],"subtle":[62],"differences.":[63],"To":[64,158],"this":[65,68],"end,":[66],"work,":[69],"we":[70,90,166],"propose":[71],"a":[72,92,126,150],"novel":[73,93],"named":[78],"Combined":[79],"Attention":[80],"Network":[81],"based":[82],"on":[83,133,170],"Transformer":[84],"(Comateformer).":[86],"In":[87],"Comateformer":[88],"model,":[89,165],"design":[91],"transformer-based":[94],"quasi-attention":[95],"mechanism":[96],"with":[97],"compositional":[98],"properties.":[99],"Unlike":[100],"traditional":[101],"mechanisms":[103],"merely":[105],"adjust":[106],"weights":[108],"input":[110],"tokens,":[111],"our":[112,129,163,182],"proposed":[113,130,164],"method":[114,183],"learns":[115],"how":[116],"combine,":[118],"subtract,":[119],"or":[120],"resize":[121],"specific":[122],"vectors":[123],"when":[124,142],"building":[125],"representation.":[127],"Moreover,":[128],"approach":[131],"builds":[132],"intuition":[135],"and":[138,175],"dissimilarity":[139],"(negative":[140],"affinity)":[141],"calculating":[143],"dual":[144],"affinity":[145],"scores.":[146],"This":[147],"allows":[148],"for":[149],"more":[151],"meaningful":[152],"representation":[153],"relationships":[155],"evaluate":[159],"performance":[161],"conducted":[167],"extensive":[168],"experiments":[169],"ten":[171],"public":[172],"real-world":[173],"datasets":[174],"robustness":[176],"testing.":[177],"Experimental":[178],"results":[179],"show":[180],"achieves":[184],"consistent":[185],"improvements.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
