{"id":"https://openalex.org/W4405304222","doi":"https://doi.org/10.1109/besc64747.2024.10780757","title":"CLMSI: A Novel Image-Text Named Entity Recognition Method Based on Contrast Learning and Multimodal Semantic Interaction","display_name":"CLMSI: A Novel Image-Text Named Entity Recognition Method Based on Contrast Learning and Multimodal Semantic Interaction","publication_year":2024,"publication_date":"2024-08-16","ids":{"openalex":"https://openalex.org/W4405304222","doi":"https://doi.org/10.1109/besc64747.2024.10780757"},"language":"en","primary_location":{"id":"doi:10.1109/besc64747.2024.10780757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc64747.2024.10780757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","raw_type":"proceedings-article"},"type":"article","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/A5042020913","display_name":"Jiangtao Ma","orcid":"https://orcid.org/0000-0001-5181-4045"},"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":"Jiangtao Ma","raw_affiliation_strings":["College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China,300387"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Tianjin Normal University,Tianjin,China,300387","institution_ids":["https://openalex.org/I15062923"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108853893","display_name":"Wenduo Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenduo Jin","raw_affiliation_strings":["School of Computer Science and Technology, Zhengzhou University of Light Industry,Zhengzhou,China,450000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhengzhou University of Light Industry,Zhengzhou,China,450000","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yonggang Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yonggang Chen","raw_affiliation_strings":["The State Information Center"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Information Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074715434","display_name":"Fan Zhang","orcid":"https://orcid.org/0000-0002-6823-2700"},"institutions":[{"id":"https://openalex.org/I4210159156","display_name":"System Equipment (China)","ror":"https://ror.org/04m2bcn74","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210159156"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhang","raw_affiliation_strings":["China National Digital Switching System Engineering and Technology R&D Center,Zhengzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China National Digital Switching System Engineering and Technology R&D Center,Zhengzhou,China","institution_ids":["https://openalex.org/I4210159156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073471568","display_name":"Shenyi Qian","orcid":"https://orcid.org/0000-0002-0076-0099"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenyi Qian","raw_affiliation_strings":["School of Computer Science and Technology, Zhengzhou University of Light Industry,Zhengzhou,China,450000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Zhengzhou University of Light Industry,Zhengzhou,China,450000","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101877690","display_name":"Yaqiong Qiao","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaqiong Qiao","raw_affiliation_strings":["College of Cyber Science, Nankai University,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Cyber Science, Nankai University,Tianjin,China,300350","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3055,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67500177,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9894999861717224,"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":0.9894999861717224,"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":0.9750999808311462,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9585000276565552,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.7923436164855957},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.7051933407783508},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6718325018882751},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.6277076601982117},{"id":"https://openalex.org/keywords/text-recognition","display_name":"Text recognition","score":0.5280153155326843},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4428635537624359},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4088618755340576},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34336626529693604}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7923436164855957},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.7051933407783508},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6718325018882751},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.6277076601982117},{"id":"https://openalex.org/C2983812711","wikidata":"https://www.wikidata.org/wiki/Q167555","display_name":"Text recognition","level":3,"score":0.5280153155326843},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4428635537624359},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4088618755340576},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34336626529693604}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc64747.2024.10780757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc64747.2024.10780757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 11th International Conference on Behavioural and Social Computing (BESC)","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":23,"referenced_works":["https://openalex.org/W2296283641","https://openalex.org/W2788647998","https://openalex.org/W2798298921","https://openalex.org/W2962902328","https://openalex.org/W3035448883","https://openalex.org/W3049143069","https://openalex.org/W3170032237","https://openalex.org/W3176858586","https://openalex.org/W3189857991","https://openalex.org/W4212998232","https://openalex.org/W4293518017","https://openalex.org/W4362453453","https://openalex.org/W4377089818","https://openalex.org/W4377103954","https://openalex.org/W4385392779","https://openalex.org/W4388334650","https://openalex.org/W4391164085","https://openalex.org/W4391647588","https://openalex.org/W4391691787","https://openalex.org/W4402684284","https://openalex.org/W6640362995","https://openalex.org/W6768021236","https://openalex.org/W6802648153"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2329812990","https://openalex.org/W2349116365","https://openalex.org/W3021708704","https://openalex.org/W2004231473","https://openalex.org/W2060895226","https://openalex.org/W2998542275"],"abstract_inverted_index":{"Most":[0],"existing":[1],"multimodal":[2,81,109],"named":[3,35],"entity":[4,36],"recognition":[5,37],"(MNER)":[6],"methods":[7],"cannot":[8],"align":[9],"image":[10,91,101,119],"and":[11,14,43,64,84,111,130,142],"text":[12],"well,":[13],"fail":[15],"to":[16,23,50,79,99,106,112],"effectively":[17,83],"fuse":[18],"image-text":[19,56,61],"semantic":[20,53,115],"information,":[21],"leading":[22],"suboptimal":[24],"MNER":[25,126],"accuracy.":[26],"To":[27],"this":[28,30],"end,":[29],"paper":[31],"proposes":[32],"a":[33,72],"novel":[34],"model":[38],"based":[39],"on":[40,124],"Contrastive":[41],"Learning":[42],"Multimodal":[44],"Semantic":[45],"Interaction":[46],"(named":[47],"CLMSI).":[48],"Specifically,":[49],"narrow":[51],"the":[52,87,108,114,118,133,136,147],"gap":[54],"between":[55],"modalities,":[57],"making":[58],"semantically":[59],"similar":[60],"representations":[62],"closer":[63],"pushing":[65],"dissimilar":[66],"ones":[67],"further":[68],"apart,":[69],"we":[70,97],"propose":[71,98],"contrastive":[73],"learning-based":[74],"cross-modal":[75],"alignment":[76],"method.":[77,138],"Moreover,":[78],"integrate":[80],"information":[82],"filter":[85],"out":[86],"noise":[88],"introduced":[89],"by":[90],"features":[92,105],"as":[93,95,103],"thoroughly":[94],"possible,":[96],"incorporate":[100],"descriptions":[102],"additional":[104],"enrich":[107],"representation":[110],"reduce":[113],"bias":[116],"of":[117,135,149],"information.":[120],"Extensive":[121],"experiments":[122],"conducted":[123],"two":[125],"benchmark":[127],"datasets,":[128],"Twitter-2015":[129],"Twitter-2017,":[131],"demonstrate":[132],"superiority":[134],"proposed":[137],"Further":[139],"ablation":[140],"studies":[141],"case":[143],"analyses":[144],"also":[145],"affirm":[146],"efficacy":[148],"CLMSI.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}