{"id":"https://openalex.org/W2292990913","doi":null,"title":"A Supervised Abbreviation Resolution System for Medical Text","display_name":"A Supervised Abbreviation Resolution System for Medical Text","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2292990913","mag":"2292990913"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.666.7283","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.666.7283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ceur-ws.org/Vol-1179/CLEF2013wn-CLEFeHealth-ZweigenbaumEt2013.pdf","raw_type":"text"},"volume":null,"type":"article","indexed_in":[],"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/A5090195478","display_name":"Pierre Zweigenbaum","orcid":"https://orcid.org/0000-0001-8410-4808","observed_orcids":["https://orcid.org/0000-0001-8410-4808"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pierre Zweigenbaum","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8410-4808","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059209944","display_name":"Louise Del\u00e9ger","orcid":"https://orcid.org/0000-0003-1399-4828","observed_orcids":["https://orcid.org/0000-0003-1399-4828"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Louise Del\u00e9ger","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1399-4828","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Thomas Lavergne","orcid":"https://orcid.org/0000-0002-9498-4551","observed_orcids":["https://orcid.org/0000-0002-9498-4551"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thomas Lavergne","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9498-4551","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005499870","display_name":"Aur\u00e9lie N\u00e9v\u00e9ol A","orcid":"https://orcid.org/0000-0002-1846-9144","observed_orcids":["https://orcid.org/0000-0002-1846-9144"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aur\u00e9lie N\u00e9v\u00e9ol","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023879081","display_name":"Andreea Bodnari","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andreea Bodnari","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1492,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.57286712,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9980000257492065,"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":0.9980000257492065,"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":0.00139999995008111,"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/T10028","display_name":"Topic Modeling","score":0.00019999999494757503,"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/medical-texts","display_name":"medical texts","score":0.6290000081062317},{"id":"https://openalex.org/keywords/supervised-classification","display_name":"supervised classification","score":0.39100000262260437},{"id":"https://openalex.org/keywords/maxent-model","display_name":"MaxEnt model","score":0.7390000224113464},{"id":"https://openalex.org/keywords/entity-detection","display_name":"entity detection","score":0.7829999923706055},{"id":"https://openalex.org/keywords/medical-terminology","display_name":"medical terminology","score":0.3569999933242798}],"concepts":[{"id":"https://openalex.org/C107763842","wikidata":"https://www.wikidata.org/wiki/Q181040","display_name":"Clef","level":3,"score":0.9381686449050903},{"id":"https://openalex.org/C69505689","wikidata":"https://www.wikidata.org/wiki/Q455338","display_name":"Unified Medical Language System","level":2,"score":0.8540990948677063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8327546119689941},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6997503638267517},{"id":"https://openalex.org/C202645933","wikidata":"https://www.wikidata.org/wiki/Q4930","display_name":"eHealth","level":3,"score":0.6614388823509216},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6489729285240173},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5816792845726013},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5791977047920227},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.576710045337677},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5763754844665527},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48888009786605835},{"id":"https://openalex.org/C482391","wikidata":"https://www.wikidata.org/wiki/Q101244","display_name":"Acronym","level":2,"score":0.4514079988002777},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.42487287521362305},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.10837587714195251},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.09444376826286316},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","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},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.666.7283","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.666.7283","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ceur-ws.org/Vol-1179/CLEF2013wn-CLEFeHealth-ZweigenbaumEt2013.pdf","raw_type":"text"},{"id":"mag:2292990913","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1179/CLEF2013wn-CLEFeHealth-ZweigenbaumEt2013.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306506385","display_name":"CLEF (Working Notes)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"CLEF (Working Notes)","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W28711288","https://openalex.org/W116705248","https://openalex.org/W166317135","https://openalex.org/W1672757658","https://openalex.org/W1991154713","https://openalex.org/W2046788142","https://openalex.org/W2129833455","https://openalex.org/W2160986985","https://openalex.org/W2294951813","https://openalex.org/W2915128229","https://openalex.org/W3147159644"],"related_works":["https://openalex.org/W2294642121","https://openalex.org/W7097739623","https://openalex.org/W2397636431","https://openalex.org/W1573048037","https://openalex.org/W2969783751","https://openalex.org/W2621398870","https://openalex.org/W196206301","https://openalex.org/W28711288","https://openalex.org/W2484437231","https://openalex.org/W7095566842"],"abstract_inverted_index":{"Abstract.":[0],"We":[1,31,53,85],"present":[2],"our":[3,128],"participation":[4],"in":[5,76],"Task":[6,97],"2":[7],"of":[8,26,38,65,109,144],"the":[9,18,36,39,63,71,77,90],"2013":[10],"CLEF-eHEALTH":[11,96],"Challenge,":[12],"whose":[13],"goal":[14],"was":[15,131],"to":[16,45,87],"determine":[17],"UMLS":[19,112],"concept":[20],"unique":[21],"identifier":[22],"(CUI),":[23],"if":[24],"available,":[25],"an":[27,66],"abbreviation":[28,67],"or":[29],"acronym.":[30],"hypothesize":[32],"that":[33],"considering":[34],"only":[35,69],"abbreviations":[37,72],"training":[40,78],"cor-pus":[41],"could":[42],"be":[43],"sufficient":[44],"provide":[46],"a":[47,57,101,107,119],"strong":[48],"baseline":[49],"for":[50,95,122],"this":[51,83,88],"task.":[52,84],"therefore":[54],"test":[55],"how":[56],"fully":[58],"supervised":[59,102],"approach,":[60],"which":[61],"predicts":[62],"CUI":[64],"based":[68,105],"on":[70,82,106],"and":[73,130,137],"CUIs":[74],"seen":[75],"corpus,":[79],"can":[80],"fare":[81],"adapt":[86],"task":[89],"process-ing":[91],"pipeline":[92],"we":[93],"developed":[94],"1,":[98],"entity":[99],"detection:":[100],"MaxEnt":[103],"model":[104],"set":[108],"features":[110],"including":[111],"Concept":[113],"Unique":[114],"Identifiers,":[115],"complemented":[116],"here":[117],"with":[118],"rule-based":[120],"com-ponent":[121],"document":[123],"headers.":[124],"This":[125],"system":[126],"confirmed":[127],"hypothesis,":[129],"evaluated":[132],"at":[133],"0.664":[134],"accuracy":[135,139],"(strict)":[136],"0.672":[138],"(relaxed),":[140],"ranking":[141],"second":[142],"out":[143],"five":[145],"teams.":[146]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}