{"id":"https://openalex.org/W4313172356","doi":"https://doi.org/10.1145/3570773.3570782","title":"Standardization of clinical terminology based on hybrid recall and Ernie","display_name":"Standardization of clinical terminology based on hybrid recall and Ernie","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4313172356","doi":"https://doi.org/10.1145/3570773.3570782"},"language":"en","primary_location":{"id":"doi:10.1145/3570773.3570782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3570773.3570782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3570773.3570782","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3570773.3570782","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052468285","display_name":"Gongzheng Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120842","display_name":"Shenyang Institute of Computing Technology (China)","ror":"https://ror.org/02xqp7x96","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120842"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongzheng Tang","raw_affiliation_strings":["Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China and \rUniversity of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0001-9877-2284","affiliations":[{"raw_affiliation_string":"Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China and \rUniversity of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210120842","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049483498","display_name":"Tianming Liu","orcid":"https://orcid.org/0000-0001-7789-5170"},"institutions":[{"id":"https://openalex.org/I4210120842","display_name":"Shenyang Institute of Computing Technology (China)","ror":"https://ror.org/02xqp7x96","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120842"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianming Liu","raw_affiliation_strings":["Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China and \rUniversity of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0001-7789-5170","affiliations":[{"raw_affiliation_string":"Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China and \rUniversity of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210120842","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020942090","display_name":"Xunsheng Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xunsheng Cai","raw_affiliation_strings":["Institute of Information Systems and Applications, National Tsing Hua University, China"],"raw_orcid":"https://orcid.org/0000-0001-5345-3714","affiliations":[{"raw_affiliation_string":"Institute of Information Systems and Applications, National Tsing Hua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080748335","display_name":"Sida Gao","orcid":"https://orcid.org/0000-0001-9315-2182"},"institutions":[{"id":"https://openalex.org/I4210120842","display_name":"Shenyang Institute of Computing Technology (China)","ror":"https://ror.org/02xqp7x96","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120842"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sida Gao","raw_affiliation_strings":["Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China and \rUniversity of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0001-9315-2182","affiliations":[{"raw_affiliation_string":"Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China and \rUniversity of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210120842","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043720691","display_name":"Lijun Fu","orcid":"https://orcid.org/0000-0001-7098-0719"},"institutions":[{"id":"https://openalex.org/I4210120842","display_name":"Shenyang Institute of Computing Technology (China)","ror":"https://ror.org/02xqp7x96","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120842"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Fu","raw_affiliation_strings":["Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China and \rUniversity of Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0001-7098-0719","affiliations":[{"raw_affiliation_string":"Shenyang Institute of Computing Technology, Chinese Academy of Sciences, China and \rUniversity of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210120842","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1099,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.91991814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9979000091552734,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9854999780654907,"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/terminology","display_name":"Terminology","score":0.9468350410461426},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.927745521068573},{"id":"https://openalex.org/keywords/snomed-ct","display_name":"SNOMED CT","score":0.894379734992981},{"id":"https://openalex.org/keywords/systematized-nomenclature-of-medicine","display_name":"Systematized Nomenclature of Medicine","score":0.7066919803619385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.676181972026825},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5699655413627625},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5529037117958069},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46308571100234985},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4520265758037567},{"id":"https://openalex.org/keywords/medical-terminology","display_name":"Medical terminology","score":0.4383275508880615},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.42980095744132996},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4153457283973694},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.27445828914642334}],"concepts":[{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.9468350410461426},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.927745521068573},{"id":"https://openalex.org/C206497026","wikidata":"https://www.wikidata.org/wiki/Q1753883","display_name":"SNOMED CT","level":3,"score":0.894379734992981},{"id":"https://openalex.org/C44681071","wikidata":"https://www.wikidata.org/wiki/Q4048820","display_name":"Systematized Nomenclature of Medicine","level":4,"score":0.7066919803619385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.676181972026825},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5699655413627625},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5529037117958069},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46308571100234985},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4520265758037567},{"id":"https://openalex.org/C511227900","wikidata":"https://www.wikidata.org/wiki/Q1192539","display_name":"Medical terminology","level":2,"score":0.4383275508880615},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.42980095744132996},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4153457283973694},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.27445828914642334},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570773.3570782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3570773.3570782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3570773.3570782","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3570773.3570782","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3570773.3570782","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3570773.3570782","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8199999928474426,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313172356.pdf","grobid_xml":"https://content.openalex.org/works/W4313172356.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W2142016317","https://openalex.org/W2509884321","https://openalex.org/W2763990719","https://openalex.org/W2788215475","https://openalex.org/W2810357886","https://openalex.org/W2967690619","https://openalex.org/W6766960179"],"related_works":["https://openalex.org/W2581432157","https://openalex.org/W983237315","https://openalex.org/W4295077997","https://openalex.org/W4384914659","https://openalex.org/W1708042184","https://openalex.org/W1511848092","https://openalex.org/W2405923535","https://openalex.org/W1534527920","https://openalex.org/W1678480707","https://openalex.org/W2914040075"],"abstract_inverted_index":{"The":[0],"task":[1],"of":[2,10,25,36,53,102],"clinical":[3,28,57,67,75],"terminology":[4,22,45,68],"standardization":[5,46],"is":[6,47,78],"an":[7,81],"indispensable":[8],"part":[9],"medical":[11,103],"information":[12],"statistics":[13],"works.":[14],"Clinical":[15,44],"terms":[16],"often":[17],"have":[18],"problems":[19],"with":[20],"colloquial":[21],"and":[23,95],"diversity":[24],"expression":[26],"in":[27,64,123],"practice.":[29],"Therefore,":[30],"there":[31],"are":[32],"many":[33],"different":[34],"ways":[35],"writing":[37],"the":[38,65,98,111],"same":[39],"diagnosis,":[40],"procedure,":[41],"symptom,":[42],"etc.":[43],"to":[48,59,86],"correspond":[49],"a":[50,54,60],"descriptive":[51],"text":[52,92],"non-standard":[55],"Chinese":[56,66,74,99],"term":[58],"given":[61],"standard":[62],"word":[63],"database.":[69],"This":[70],"paper":[71],"focuses":[72],"on":[73,91,97,106],"texts,":[76],"ERNIE-health":[77],"used":[79],"as":[80],"implied":[82],"semantic":[83],"scoring":[84],"module":[85],"generate":[87],"candidate":[88],"answers":[89],"based":[90,105],"similarity":[93],"retrieval,":[94],"tested":[96],"data":[100],"set":[101],"professionals":[104],"SNOMED":[107],"CT":[108],"annotation":[109],"for":[110],"first":[112],"time.":[113],"Experiments":[114],"show":[115],"that":[116],"this":[117],"method":[118],"has":[119],"achieved":[120],"good":[121],"results":[122],"practical":[124],"application.":[125]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}