{"id":"https://openalex.org/W2949182966","doi":"https://doi.org/10.18653/v1/p19-1584","title":"Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records","display_name":"Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2949182966","doi":"https://doi.org/10.18653/v1/p19-1584","mag":"2949182966"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1584","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1584","pdf_url":"https://www.aclweb.org/anthology/P19-1584.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1584.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077013463","display_name":"Max Friedrich","orcid":"https://orcid.org/0000-0002-7103-3753"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I884043246","display_name":"Hamburg University of Technology","ror":"https://ror.org/04bs1pb34","country_code":"DE","type":"education","lineage":["https://openalex.org/I884043246"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Max Friedrich","raw_affiliation_strings":["Language Technology Group, Universitt Hamburg","University of Hamburg"],"affiliations":[{"raw_affiliation_string":"Language Technology Group, Universitt Hamburg","institution_ids":["https://openalex.org/I884043246"]},{"raw_affiliation_string":"University of Hamburg","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076112411","display_name":"Arne K\u00f6hn","orcid":"https://orcid.org/0000-0002-4880-2016"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Arne K\u00f6hn","raw_affiliation_strings":["University of Hamburg"],"affiliations":[{"raw_affiliation_string":"University of Hamburg","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068268204","display_name":"Gregor Wiedemann","orcid":"https://orcid.org/0000-0002-4239-295X"},"institutions":[{"id":"https://openalex.org/I159176309","display_name":"Universit\u00e4t Hamburg","ror":"https://ror.org/00g30e956","country_code":"DE","type":"education","lineage":["https://openalex.org/I159176309"]},{"id":"https://openalex.org/I884043246","display_name":"Hamburg University of Technology","ror":"https://ror.org/04bs1pb34","country_code":"DE","type":"education","lineage":["https://openalex.org/I884043246"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gregor Wiedemann","raw_affiliation_strings":["Language Technology Group, Universitt Hamburg","University of Hamburg"],"affiliations":[{"raw_affiliation_string":"Language Technology Group, Universitt Hamburg","institution_ids":["https://openalex.org/I884043246"]},{"raw_affiliation_string":"University of Hamburg","institution_ids":["https://openalex.org/I159176309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021287757","display_name":"Chris Biemann","orcid":"https://orcid.org/0000-0002-8449-9624"},"institutions":[{"id":"https://openalex.org/I884043246","display_name":"Hamburg University of Technology","ror":"https://ror.org/04bs1pb34","country_code":"DE","type":"education","lineage":["https://openalex.org/I884043246"]},{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Chris Biemann","raw_affiliation_strings":["Language Technology Group, Universitt Hamburg","Saarland Univ,"],"affiliations":[{"raw_affiliation_string":"Language Technology Group, Universitt Hamburg","institution_ids":["https://openalex.org/I884043246"]},{"raw_affiliation_string":"Saarland Univ,","institution_ids":["https://openalex.org/I91712215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5077013463"],"corresponding_institution_ids":["https://openalex.org/I159176309","https://openalex.org/I884043246"],"apc_list":null,"apc_paid":null,"fwci":0.7161,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75644248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5829","last_page":"5839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10751","display_name":"Forensic and Genetic Research","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10751","display_name":"Forensic and Genetic Research","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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":0.9567999839782715,"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/T10582","display_name":"Ethics in Clinical Research","score":0.9552000164985657,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7504749298095703},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7029764652252197},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6777731776237488},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6474075317382812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5393151640892029},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5327506065368652},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5260436534881592},{"id":"https://openalex.org/keywords/protected-health-information","display_name":"Protected health information","score":0.49161630868911743},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.4649893641471863},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.4570477306842804},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.4417884945869446},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42179974913597107},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.21345996856689453},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.2063906192779541},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.06924864649772644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7504749298095703},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7029764652252197},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6777731776237488},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6474075317382812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5393151640892029},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5327506065368652},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5260436534881592},{"id":"https://openalex.org/C133652896","wikidata":"https://www.wikidata.org/wiki/Q7251300","display_name":"Protected health information","level":5,"score":0.49161630868911743},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.4649893641471863},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.4570477306842804},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.4417884945869446},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42179974913597107},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.21345996856689453},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.2063906192779541},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.06924864649772644},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C185618831","wikidata":"https://www.wikidata.org/wiki/Q1851928","display_name":"Health promotion","level":3,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C147268084","wikidata":"https://www.wikidata.org/wiki/Q5635796","display_name":"HRHIS","level":4,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.18653/v1/p19-1584","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1584","pdf_url":"https://www.aclweb.org/anthology/P19-1584.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.05000","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.05000","pdf_url":"https://arxiv.org/pdf/1906.05000","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2949182966","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1906.05000","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1906.05000","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.05000","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1584","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1584","pdf_url":"https://www.aclweb.org/anthology/P19-1584.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7200000286102295,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309644","display_name":"State University of New York","ror":"https://ror.org/01q1z8k08"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2949182966.pdf","grobid_xml":"https://content.openalex.org/works/W2949182966.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W107524893","https://openalex.org/W115293911","https://openalex.org/W1034374084","https://openalex.org/W1676830510","https://openalex.org/W1731081199","https://openalex.org/W1940872118","https://openalex.org/W2004910511","https://openalex.org/W2015620729","https://openalex.org/W2064675550","https://openalex.org/W2125674401","https://openalex.org/W2160987310","https://openalex.org/W2162670686","https://openalex.org/W2190333735","https://openalex.org/W2250539671","https://openalex.org/W2296283641","https://openalex.org/W2493916176","https://openalex.org/W2517388783","https://openalex.org/W2621075239","https://openalex.org/W2624380710","https://openalex.org/W2738180183","https://openalex.org/W2789205387","https://openalex.org/W2888161220","https://openalex.org/W2963879260","https://openalex.org/W2963956191","https://openalex.org/W2964052092"],"related_works":["https://openalex.org/W2952460928","https://openalex.org/W3191318294","https://openalex.org/W3041348913","https://openalex.org/W3109160524","https://openalex.org/W2808180392","https://openalex.org/W3044986852","https://openalex.org/W2522356757","https://openalex.org/W2021641767","https://openalex.org/W3044902474","https://openalex.org/W2940517749","https://openalex.org/W1945159329","https://openalex.org/W2892226435","https://openalex.org/W3000635758","https://openalex.org/W2971408387","https://openalex.org/W3090855069","https://openalex.org/W3090741762","https://openalex.org/W2946139752","https://openalex.org/W3102031770","https://openalex.org/W2993929075","https://openalex.org/W2901178224"],"abstract_inverted_index":{"De-identification":[0],"is":[1,14,129],"the":[2,36,67],"task":[3],"of":[4,57,69,82,126],"detecting":[5],"protected":[6],"health":[7,21],"information":[8,138],"(PHI)":[9],"in":[10,18,139],"medical":[11,58,71,83],"text.":[12],"It":[13],"a":[15,41,49,61,75,116,132],"critical":[16],"step":[17],"sanitizing":[19],"electronic":[20],"records":[22],"(EHRs)":[23],"to":[24,46,77,104,121,131],"be":[25,100,161],"shared":[26,101],"for":[27,108,156],"research.":[28],"Automatic":[29],"de-identification":[30,110,119,146,158],"classifiers":[31],"can":[32,99],"significantly":[33],"speed":[34],"up":[35],"sanitization":[37],"process.":[38],"However,":[39],"obtaining":[40],"large":[42],"and":[43],"diverse":[44],"dataset":[45],"train":[47],"such":[48],"classifier":[50,147],"that":[51,90,135],"works":[52],"well":[53],"across":[54],"many":[55],"types":[56],"text":[59,84],"poses":[60],"challenge":[62],"as":[63],"privacy":[64],"laws":[65],"prohibit":[66],"sharing":[68],"raw":[70],"records.":[72],"We":[73],"introduce":[74],"method":[76],"create":[78,105],"privacy-preserving":[79],"shareable":[80],"representations":[81,98],"(i.e.":[85],"they":[86],"contain":[87],"no":[88],"PHI)":[89],"does":[91],"not":[92],"require":[93],"expensive":[94],"manual":[95],"pseudonymization.":[96],"These":[97],"between":[102],"organizations":[103],"unified":[106],"datasets":[107],"training":[109,115],"models.":[111],"Our":[112],"representation":[113,151],"allows":[114],"simple":[117],"LSTM-CRF":[118],"model":[120],"an":[122],"F":[123],"1":[124],"score":[125],"97.4%,":[127],"which":[128,157],"comparable":[130],"strong":[133],"baseline":[134],"exposes":[136],"private":[137],"its":[140],"representation.":[141],"A":[142],"robust,":[143],"widely":[144],"available":[145],"based":[148],"on":[149],"our":[150],"could":[152],"potentially":[153],"enable":[154],"studies":[155],"would":[159],"otherwise":[160],"too":[162],"costly.":[163]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2022-07-28T00:00:00"}
