{"id":"https://openalex.org/W4379516780","doi":"https://doi.org/10.3233/jifs-231554","title":"Local and global character representation enhanced model for Chinese medical named entity recognition","display_name":"Local and global character representation enhanced model for Chinese medical named entity recognition","publication_year":2023,"publication_date":"2023-06-06","ids":{"openalex":"https://openalex.org/W4379516780","doi":"https://doi.org/10.3233/jifs-231554"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-231554","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-231554","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-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/A5084440288","display_name":"Yan Xiang","orcid":"https://orcid.org/0000-0002-6475-638X"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Xiang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062908102","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0003-2968-2888"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103004657","display_name":"Junjun Guo","orcid":"https://orcid.org/0000-0002-3522-7120"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Junjun Guo","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100425725","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0003-2104-0194"},"institutions":[{"id":"https://openalex.org/I10660446","display_name":"Kunming University of Science and Technology","ror":"https://ror.org/00xyeez13","country_code":"CN","type":"education","lineage":["https://openalex.org/I10660446"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, China","institution_ids":["https://openalex.org/I10660446"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103004657"],"corresponding_institution_ids":["https://openalex.org/I10660446"],"apc_list":null,"apc_paid":null,"fwci":0.1586,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50391279,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"45","issue":"3","first_page":"3779","last_page":"3790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9987000226974487,"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":0.9821000099182129,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.8492676019668579},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7816193699836731},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.7418033480644226},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6050682067871094},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.601283073425293},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5834402441978455},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.5686677694320679},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5589519739151001},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45723021030426025},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4466962218284607},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40296489000320435},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2031252682209015},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.15559762716293335},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12732630968093872}],"concepts":[{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.8492676019668579},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7816193699836731},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.7418033480644226},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6050682067871094},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.601283073425293},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5834402441978455},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5686677694320679},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5589519739151001},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45723021030426025},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4466962218284607},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40296489000320435},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2031252682209015},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.15559762716293335},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12732630968093872},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-231554","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-231554","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2003798170","https://openalex.org/W2114361266","https://openalex.org/W2134429551","https://openalex.org/W2141099517","https://openalex.org/W2395172628","https://openalex.org/W2528700057","https://openalex.org/W2626176522","https://openalex.org/W2769387903","https://openalex.org/W2796831711","https://openalex.org/W2921863388","https://openalex.org/W2962904552","https://openalex.org/W2963140597","https://openalex.org/W2965690110","https://openalex.org/W2970323499","https://openalex.org/W2973965787","https://openalex.org/W2998153464","https://openalex.org/W3035642486","https://openalex.org/W3174142642","https://openalex.org/W3175827941","https://openalex.org/W3176023514","https://openalex.org/W3213048773","https://openalex.org/W4200098126","https://openalex.org/W4286639925","https://openalex.org/W6600654476","https://openalex.org/W6601998182","https://openalex.org/W6677122314","https://openalex.org/W6680215324","https://openalex.org/W6761049344","https://openalex.org/W6766351971","https://openalex.org/W6795210648","https://openalex.org/W6797062687","https://openalex.org/W6804120444","https://openalex.org/W6805281082","https://openalex.org/W6840086466"],"related_works":["https://openalex.org/W2159052453","https://openalex.org/W2368824897","https://openalex.org/W1508050556","https://openalex.org/W1910862367","https://openalex.org/W2379365082","https://openalex.org/W2370747590","https://openalex.org/W2030109976","https://openalex.org/W2369260257","https://openalex.org/W2389120450","https://openalex.org/W55249799"],"abstract_inverted_index":{"Chinese":[0,11],"medical":[1,13,104],"named":[2],"entity":[3],"recognition":[4],"(CMNER)":[5],"aims":[6],"to":[7,34,66,78,92,102,114],"extract":[8],"entities":[9],"from":[10,25],"unstructured":[12],"texts.":[14],"Existing":[15],"character-based":[16],"NER":[17],"models":[18],"do":[19],"not":[20],"comprehensively":[21],"consider":[22],"character\u2019s":[23],"characteristics":[24],"different":[26],"perspectives,":[27],"which":[28,98],"limits":[29],"their":[30],"performance":[31],"in":[32],"applying":[33],"CMNER.":[35,50],"In":[36,157],"this":[37],"paper,":[38],"we":[39,159],"propose":[40],"a":[41,135],"local":[42,69,85],"and":[43,60,86,117,123,148,153],"global":[44,74,87],"character":[45,62,70,75,96,112],"representation":[46,63,76,88,113],"enhanced":[47,95,111],"model":[48,56,108,133,168],"for":[49,120],"For":[51],"the":[52,55,58,68,73,79,84,94,107,110,115,139,143,151,161],"input":[53],"sentence,":[54],"fuses":[57],"spacial":[59],"sequential":[61],"using":[64],"autoencoder":[65],"get":[67],"representation;":[71],"extracts":[72],"according":[77],"corresponding":[80],"domain":[81],"words;":[82],"integrates":[83],"through":[89],"gating":[90],"mechanism":[91],"obtain":[93],"representation,":[97],"has":[99],"better":[100],"ability":[101],"perceive":[103],"entities.":[105],"Finally,":[106],"sent":[109],"Bi-LSTM":[116],"CRF":[118],"layers":[119],"context":[121],"encoding":[122],"tags":[124],"decoding":[125],"respectively.":[126,156],"The":[127],"experimental":[128],"results":[129],"demonstrate":[130],"that":[131],"our":[132,167],"achieves":[134],"significant":[136],"improvement":[137],"over":[138],"best":[140],"baseline,":[141],"increasing":[142],"F1":[144],"values":[145],"by":[146,169],"1.04%":[147],"0.62%":[149],"on":[150],"IMCS21":[152],"CMeEE":[154],"datasets,":[155],"addition,":[158],"verify":[160],"effectiveness":[162],"of":[163,166],"each":[164],"component":[165],"ablation":[170],"experiments.":[171]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
