{"id":"https://openalex.org/W4393970036","doi":"https://doi.org/10.1145/3644116.3644293","title":"MEGP: Dual feature extraction network for Chinese medical entity recognition","display_name":"MEGP: Dual feature extraction network for Chinese medical entity recognition","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4393970036","doi":"https://doi.org/10.1145/3644116.3644293"},"language":"en","primary_location":{"id":"doi:10.1145/3644116.3644293","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","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/A5114910256","display_name":"Yijie Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yijie Zhang","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, China and \rSichuan Province Engineering Technology Research Center of Support Software of Informatization Application, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, China and \rSichuan Province Engineering Technology Research Center of Support Software of Informatization Application, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048971134","display_name":"Yan Gao","orcid":"https://orcid.org/0009-0009-0537-4021"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Gao","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, China and \rSichuan Province Engineering Technology Research Center of Support Software of Informatization Application, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, China and \rSichuan Province Engineering Technology Research Center of Support Software of Informatization Application, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100712291","display_name":"Dan Tang","orcid":"https://orcid.org/0000-0002-3080-462X"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Tang","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, China and \rSichuan Province Engineering Technology Research Center of Support Software of Informatization Application, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, China and \rSichuan Province Engineering Technology Research Center of Support Software of Informatization Application, China","institution_ids":["https://openalex.org/I24201400"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045023875","display_name":"Qiong Zeng","orcid":"https://orcid.org/0009-0007-8525-7276"},"institutions":[{"id":"https://openalex.org/I24201400","display_name":"Chengdu University of Information Technology","ror":"https://ror.org/01yxwrh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I24201400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiong Zeng","raw_affiliation_strings":["School of Software Engineering, Chengdu University of Information Technology, China and \rSichuan Province Engineering Technology Research Center of Support Software of Informatization Application, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Chengdu University of Information Technology, China and \rSichuan Province Engineering Technology Research Center of Support Software of Informatization Application, China","institution_ids":["https://openalex.org/I24201400"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114910256"],"corresponding_institution_ids":["https://openalex.org/I24201400"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22268015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1029","last_page":"1035"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9991999864578247,"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":0.9991999864578247,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9933000206947327,"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/feature-extraction","display_name":"Feature extraction","score":0.6873230338096619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6748982667922974},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.6615757942199707},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.48460468649864197},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47976407408714294},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.445590078830719},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40637072920799255}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6873230338096619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6748982667922974},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.6615757942199707},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.48460468649864197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47976407408714294},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.445590078830719},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40637072920799255},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3644116.3644293","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3644116.3644293","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science","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":11,"referenced_works":["https://openalex.org/W2965373594","https://openalex.org/W2967649271","https://openalex.org/W3002226419","https://openalex.org/W3011594683","https://openalex.org/W3155806510","https://openalex.org/W3160137267","https://openalex.org/W3185823435","https://openalex.org/W3213591530","https://openalex.org/W4312304404","https://openalex.org/W6959643953","https://openalex.org/W7093349750"],"related_works":["https://openalex.org/W4386159726","https://openalex.org/W2601157893","https://openalex.org/W2131735617","https://openalex.org/W2373006798","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W2811390910","https://openalex.org/W4312376745","https://openalex.org/W2136016640"],"abstract_inverted_index":{"Named":[0],"Entity":[1],"Recognition(NER)":[2],"is":[3,150,168],"a":[4,14,59],"key":[5],"technology":[6],"for":[7,31,64],"information":[8],"extraction.":[9],"Chinese":[10,35,65],"medical":[11,36,66],"text":[12,37,67],"contains":[13],"high":[15],"number":[16],"of":[17,34,73,134,159],"nested":[18,41,74],"entities,":[19],"making":[20],"entity":[21,42,61,161],"recognition":[22,62,120,162],"more":[23],"complex":[24],"compared":[25,172],"to":[26,50,103,113,117,153],"ordinary":[27],"text.":[28],"Previous":[29],"methods":[30,49,156],"recognizing":[32],"entities":[33],"often":[38],"ignore":[39],"the":[40,52,71,110,115,119,127,137,144,154,165,174],"parts":[43],"and":[44,84,96,99,164],"directly":[45],"use":[46],"sequence":[47],"labeling":[48],"recognize":[51],"whole":[53],"entity.":[54],"Therefore,":[55],"this":[56],"paper":[57],"proposes":[58],"named":[60],"model":[63,77,94,129,149],"that":[68,126],"effectively":[69],"improves":[70],"accuracy":[72,167],"entities.":[75],"The":[76,87,122,147],"based":[78],"on":[79,136],"dual":[80],"features":[81,89,116],"extraction":[82],"network":[83],"Global":[85,111],"Pointer.":[86],"different":[88],"are":[90],"obtained":[91],"by":[92,170],"pre-training":[93],"RoBERTa-wwm":[95],"four-corner":[97],"method":[98],"combined":[100],"with":[101,173],"BiLSTM":[102],"obtain":[104,118],"fused":[105],"feature":[106],"vectors.":[107],"Then":[108],"using":[109],"Pointer":[112],"decode":[114],"results.":[121],"experimental":[123],"results":[124],"show":[125],"proposed":[128,148],"has":[130],"an":[131],"average":[132],"F1-score":[133],"71.6%":[135],"CMeEE":[138],"dataset,":[139],"which":[140],"performs":[141],"better":[142],"than":[143],"benchmark":[145,175],"models.":[146,176],"significantly":[151],"superior":[152],"existing":[155],"in":[157],"terms":[158],"nested-type":[160],"performance,":[163],"overall":[166],"increased":[169],"8.96%":[171]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
