{"id":"https://openalex.org/W4414231113","doi":"https://doi.org/10.1109/ialp68296.2024.11156283","title":"Multi-Modal Named Entity Recognition Analysis of Mongolian Language Based on Knowledge Enhanced Pre-Trained Models","display_name":"Multi-Modal Named Entity Recognition Analysis of Mongolian Language Based on Knowledge Enhanced Pre-Trained Models","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4414231113","doi":"https://doi.org/10.1109/ialp68296.2024.11156283"},"language":"en","primary_location":{"id":"doi:10.1109/ialp68296.2024.11156283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp68296.2024.11156283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Asian Language Processing (IALP)","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/A5011157840","display_name":"Bo Da","orcid":"https://orcid.org/0000-0002-0785-8662"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bulaga Da","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014372166","display_name":"Feilong Bao","orcid":"https://orcid.org/0000-0001-7312-1629"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bao Feilong","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University,Hohhot,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"159","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9947999715805054,"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":0.9947999715805054,"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":0.9944999814033508,"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":0.9560999870300293,"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/conditional-random-field","display_name":"Conditional random field","score":0.8269000053405762},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.6327000260353088},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6144999861717224},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5734000205993652},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5685999989509583},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.54339998960495},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4553000032901764},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.423799991607666}],"concepts":[{"id":"https://openalex.org/C152565575","wikidata":"https://www.wikidata.org/wiki/Q1124538","display_name":"Conditional random field","level":2,"score":0.8269000053405762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.785099983215332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6327000260353088},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.6327000260353088},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6144999861717224},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6075999736785889},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5734000205993652},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5685999989509583},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.54339998960495},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4553000032901764},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.423799991607666},{"id":"https://openalex.org/C2781122975","wikidata":"https://www.wikidata.org/wiki/Q16928266","display_name":"Semantic feature","level":2,"score":0.38109999895095825},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.36959999799728394},{"id":"https://openalex.org/C96711827","wikidata":"https://www.wikidata.org/wiki/Q17012245","display_name":"Entity linking","level":3,"score":0.336899995803833},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.31380000710487366},{"id":"https://openalex.org/C2775953691","wikidata":"https://www.wikidata.org/wiki/Q5013874","display_name":"CRFS","level":3,"score":0.3116999864578247},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.290800005197525},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.28459998965263367},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.25999999046325684}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ialp68296.2024.11156283","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ialp68296.2024.11156283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Conference on Asian Language Processing (IALP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3196667431","display_name":"\u9762\u5411\u8499\u53e4\u8bed\u60c5\u611f\u8bed\u97f3\u5408\u6210\u7684\u8a00\u8bed\u60c5\u611f\u4e0e\u58f0\u5b66\u5efa\u6a21\u7814\u7a76","funder_award_id":"62066033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,8,13,36,73,86,94,118,123,131,142,154,158,169,176,187],"emergence":[2],"of":[3,15,38,145,157,189],"massive":[4],"multimodal":[5,16,40,105],"data":[6],"in":[7,12,25,44,163,168],"information":[9,89],"age,":[10],"research":[11,43,182],"field":[14,134,188],"named":[17,147],"entity":[18],"recognition":[19,144],"(MNER)":[20],"has":[21],"made":[22],"significant":[23],"progress":[24],"mainstream":[26],"languages":[27,46],"such":[28,47],"as":[29,48],"Chinese":[30],"and":[31,92,112,121,179,184],"English.":[32],"However,":[33],"due":[34],"to":[35,77],"lack":[37],"efficient":[39],"characterization":[41],"methods,":[42],"low-resource":[45],"Mongolian":[49,62,96,124,146,159,190],"is":[50,135,172],"still":[51],"relatively":[52],"limited.":[53],"Therefore,":[54],"this":[55,70,101,164],"paper":[56,71,102,165],"proposes":[57,103],"a":[58,65,79,104],"MNER":[59,160],"method":[60,161],"for":[61,137,186],"based":[63],"on":[64],"knowledge-enhanced":[66],"pretraining":[67,75],"model.":[68],"First,":[69],"utilizes":[72],"CLIP":[74],"model":[76],"construct":[78],"unified":[80],"feature":[81],"representation":[82],"space,":[83],"which":[84,115,140,171],"improves":[85,122],"cross-modal":[87,95,109],"knowledge":[88],"alignment":[90],"capability":[91],"alleviates":[93],"semantic":[97,125],"divide":[98],"problem.":[99],"Second,":[100],"interaction":[106],"strategy":[107],"combining":[108],"cross-attention":[110],"mechanism":[111],"gating":[113],"mechanism,":[114],"effectively":[116],"captures":[117],"key":[119],"features":[120],"relevance":[126],"among":[127],"different":[128],"modalities.":[129],"Finally,":[130],"conditional":[132],"random":[133],"used":[136],"sequence":[138],"annotation,":[139],"realizes":[141],"accurate":[143],"entities.":[148],"The":[149],"experimental":[150],"results":[151],"show":[152],"that":[153],"F1":[155],"value":[156],"proposed":[162],"reaches":[166],"76.81%":[167],"experiments,":[170],"significantly":[173],"better":[174],"than":[175],"baseline":[177],"model,":[178],"provides":[180],"new":[181],"ideas":[183],"methods":[185],"MNER.":[191]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
