{"id":"https://openalex.org/W4244878553","doi":"https://doi.org/10.1109/cbms.2004.1311686","title":"Using MEDLINE as a knowledge source for disambiguating abbreviations in full-text biomedical journal articles","display_name":"Using MEDLINE as a knowledge source for disambiguating abbreviations in full-text biomedical journal articles","publication_year":2004,"publication_date":"2004-09-28","ids":{"openalex":"https://openalex.org/W4244878553","doi":"https://doi.org/10.1109/cbms.2004.1311686"},"language":"en","primary_location":{"id":"doi:10.1109/cbms.2004.1311686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2004.1311686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems","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/A5001323854","display_name":"Hong Yu","orcid":"https://orcid.org/0000-0002-1272-4511"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hong Yu","raw_affiliation_strings":["Department of Computer Science, Columbia University, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100348844","display_name":"Won Kim","orcid":"https://orcid.org/0000-0002-2926-1007"},"institutions":[{"id":"https://openalex.org/I4210109390","display_name":"National Center for Biotechnology Information","ror":"https://ror.org/02meqm098","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410","https://openalex.org/I4210109390"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Won Kim","raw_affiliation_strings":["National Center for Biotechnology Information, Bethesda, MD, USA"],"affiliations":[{"raw_affiliation_string":"National Center for Biotechnology Information, Bethesda, MD, USA","institution_ids":["https://openalex.org/I4210109390"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077310787","display_name":"V. Hatzivassiloglou","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. Hatzivassiloglou","raw_affiliation_strings":["Center for Computational Learning System, Columbia University, NY, USA"],"affiliations":[{"raw_affiliation_string":"Center for Computational Learning System, Columbia University, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034993354","display_name":"W. John Wilbur","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109390","display_name":"National Center for Biotechnology Information","ror":"https://ror.org/02meqm098","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I2800548410","https://openalex.org/I4210109390"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W. John Wilbur","raw_affiliation_strings":["National Center for Biotechnology Information, Bethesda, MD, USA"],"affiliations":[{"raw_affiliation_string":"National Center for Biotechnology Information, Bethesda, MD, USA","institution_ids":["https://openalex.org/I4210109390"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001323854"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.1169,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50475458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":null,"first_page":"27","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9998999834060669,"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":0.9998999834060669,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9682000279426575,"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":0.9606999754905701,"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/computer-science","display_name":"Computer science","score":0.7571708559989929},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.6756314635276794},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.675591766834259},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5160641074180603},{"id":"https://openalex.org/keywords/biomedical-text-mining","display_name":"Biomedical text mining","score":0.5022623538970947},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48542603850364685},{"id":"https://openalex.org/keywords/text-mining","display_name":"Text mining","score":0.3058692216873169}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7571708559989929},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.6756314635276794},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.675591766834259},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5160641074180603},{"id":"https://openalex.org/C165141518","wikidata":"https://www.wikidata.org/wiki/Q4915126","display_name":"Biomedical text mining","level":3,"score":0.5022623538970947},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48542603850364685},{"id":"https://openalex.org/C71472368","wikidata":"https://www.wikidata.org/wiki/Q676880","display_name":"Text mining","level":2,"score":0.3058692216873169},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbms.2004.1311686","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2004.1311686","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems","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":17,"referenced_works":["https://openalex.org/W116705248","https://openalex.org/W243915216","https://openalex.org/W1525742988","https://openalex.org/W1566796909","https://openalex.org/W1991154713","https://openalex.org/W2032898843","https://openalex.org/W2037987185","https://openalex.org/W2077250344","https://openalex.org/W2078754983","https://openalex.org/W2101210369","https://openalex.org/W2146257659","https://openalex.org/W2152429541","https://openalex.org/W2158505321","https://openalex.org/W2166337977","https://openalex.org/W6604673131","https://openalex.org/W6609352717","https://openalex.org/W6648116614"],"related_works":["https://openalex.org/W3185751515","https://openalex.org/W1479703980","https://openalex.org/W2749535755","https://openalex.org/W1553529581","https://openalex.org/W4206039273","https://openalex.org/W4232119327","https://openalex.org/W2911489562","https://openalex.org/W2134429551","https://openalex.org/W3183808544","https://openalex.org/W2188854577"],"abstract_inverted_index":{"Biomedical":[0],"abbreviations":[1,12,33,42,74,107],"and":[2,21,101,128],"acronyms":[3],"are":[4,34],"widely":[5],"used":[6],"in":[7,16,75,108,117],"biomedical":[8,17,29,77],"literature.":[9],"Since":[10,31],"many":[11,32],"represent":[13,49],"important":[14,39],"content":[15],"literature,":[18],"information":[19],"retrieval":[20],"extraction":[22],"benefits":[23],"from":[24,84],"identifying":[25],"the":[26,50,53,103],"meanings":[27,51],"of":[28,52,92,106],"abbreviations.":[30,54],"ambiguous,":[35],"it":[36],"would":[37],"be":[38],"to":[40,43,124,130],"map":[41],"their":[44],"full":[45,104],"forms,":[46],"which":[47],"ultimately":[48],"In":[55],"this":[56],"study,":[57],"we":[58],"present":[59],"a":[60,69,87],"novel":[61],"unsupervised":[62,119],"method":[63],"that":[64],"applies":[65],"MEDLINE":[66,85,99],"records":[67,86,100],"as":[68],"knowledge":[70,88],"source":[71,89],"for":[72],"disambiguating":[73],"full-text":[76,109],"journal":[78,110],"articles.":[79],"We":[80,95,121],"first":[81],"automatically":[82],"generated":[83],"or":[90],"dictionary":[91],"abbreviation-full":[93],"pairs.":[94],"then":[96],"trained":[97],"on":[98],"predicted":[102],"forms":[105],"articles":[111],"by":[112],"applying":[113],"supervised":[114],"machine-learning":[115],"algorithms":[116],"an":[118],"fashion.":[120],"report":[122],"up":[123,129],"92%":[125],"prediction":[126],"precision":[127],"91%":[131],"coverage.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
