{"id":"https://openalex.org/W3010246321","doi":"https://doi.org/10.1145/3374587.3374613","title":"Chinese Medical Entity Annotation Based on Autonomous Learning","display_name":"Chinese Medical Entity Annotation Based on Autonomous Learning","publication_year":2019,"publication_date":"2019-12-06","ids":{"openalex":"https://openalex.org/W3010246321","doi":"https://doi.org/10.1145/3374587.3374613","mag":"3010246321"},"language":"en","primary_location":{"id":"doi:10.1145/3374587.3374613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374587.3374613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence","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/A5040666670","display_name":"Hongjie Fan","orcid":"https://orcid.org/0000-0002-4872-8557"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongjie Fan","raw_affiliation_strings":["School of Electronics Engineering and Computer Science, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronics Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100450593","display_name":"Dongsheng Wang","orcid":"https://orcid.org/0009-0006-9941-8280"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongsheng Wang","raw_affiliation_strings":["School of Software & Microelectronics, Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Software & Microelectronics, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101864290","display_name":"Songtao Ye","orcid":"https://orcid.org/0000-0003-4368-7167"},"institutions":[{"id":"https://openalex.org/I4610292","display_name":"Xiangtan University","ror":"https://ror.org/00xsfaz62","country_code":"CN","type":"education","lineage":["https://openalex.org/I4610292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songtao Ye","raw_affiliation_strings":["The College of Information Engineering, Xiangtan University, Xiangtan, China"],"affiliations":[{"raw_affiliation_string":"The College of Information Engineering, Xiangtan University, Xiangtan, China","institution_ids":["https://openalex.org/I4610292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040666670"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1429109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"307","last_page":"312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9983999729156494,"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/T10028","display_name":"Topic Modeling","score":0.9980999827384949,"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":0.9915000200271606,"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/annotation","display_name":"Annotation","score":0.8021582365036011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7660971879959106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48236793279647827},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4597250819206238},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3619224429130554},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.33949291706085205}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.8021582365036011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7660971879959106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48236793279647827},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4597250819206238},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3619224429130554},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33949291706085205}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3374587.3374613","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3374587.3374613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 3rd International Conference on Computer Science and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.550000011920929,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W67303140","https://openalex.org/W1578843544","https://openalex.org/W1982626598","https://openalex.org/W2045993505","https://openalex.org/W2067326963","https://openalex.org/W2095896451","https://openalex.org/W2111069012","https://openalex.org/W2114388055","https://openalex.org/W2120539430","https://openalex.org/W2125117006","https://openalex.org/W2799125718","https://openalex.org/W2890461267","https://openalex.org/W2953365284","https://openalex.org/W2970913210","https://openalex.org/W4302585900"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Named":[0,42],"entity":[1,5,34,43,63,138],"annotation":[2,44,64],"means":[3],"an":[4,29],"that":[6,163],"needs":[7],"to":[8,102,126,144],"be":[9,127],"labeled":[10,99,112],"in":[11,32,45,85,89],"a":[12,16,66,94,131],"prediction":[13],"sequence":[14],"on":[15,70,153],"given":[17],"text":[18,106,124],"sequence.":[19],"Labeling":[20],"high-quality":[21],"medical":[22,26,39,46,81,87,100,105,123,133,137,147,156],"entities":[23,57,82,101],"from":[24,120],"Chinese":[25,86,146,155],"texts":[27,47],"plays":[28],"important":[30],"role":[31],"named":[33,56,62],"recognition,":[35],"and":[36,54,77,108,129,158,171],"construction":[37],"of":[38,51,68,97],"knowledge":[40],"graph.":[41],"is":[48,75,151],"the":[49,52,71,118,121,159,164,169],"premise":[50],"full-supervised":[53],"semi-supervised":[55],"recognition.":[58],"The":[59,114,135],"current":[60],"mainstream":[61],"require":[65],"lot":[67],"manpower":[69],"corpus":[72],"labeling,":[73],"which":[74],"laborious":[76],"time":[78],"consuming.":[79],"For":[80],"widely":[83],"distributed":[84],"texts,":[88],"this":[90],"paper,":[91],"we":[92],"propose":[93],"small":[95],"number":[96],"manually":[98],"autonomously":[103,136],"learn":[104],"features,":[107],"iteratively":[109],"generating":[110],"new":[111],"entities.":[113],"model":[115],"automatically":[116],"iterates":[117],"annotations":[119],"original":[122],"collection":[125],"processed":[128],"generates":[130],"valid":[132],"entity.":[134],"labeling":[139],"work":[140],"makes":[141],"it":[142],"easy":[143],"label":[145],"texts.":[148],"This":[149],"framework":[150],"tested":[152],"real":[154],"records,":[157],"experimental":[160],"results":[161],"show":[162],"method":[165],"can":[166],"effectively":[167],"identify":[168],"entities,":[170],"has":[172],"certain":[173],"practical":[174],"value.":[175]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}