{"id":"https://openalex.org/W4223433861","doi":"https://doi.org/10.48550/arxiv.2204.04775","title":"Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts","display_name":"Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts","publication_year":2022,"publication_date":"2022-04-10","ids":{"openalex":"https://openalex.org/W4223433861","doi":"https://doi.org/10.48550/arxiv.2204.04775"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2204.04775","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.04775","pdf_url":"https://arxiv.org/pdf/2204.04775","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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.04775","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036768397","display_name":"Saadullah Amin","orcid":"https://orcid.org/0000-0002-9915-5795"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amin, Saadullah","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020046851","display_name":"Noon Pokaratsiri Goldstein","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Goldstein, Noon Pokaratsiri","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023041486","display_name":"Morgan Wixted","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wixted, Morgan Kelly","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046498687","display_name":"Alejandro Garc\u00eda\u2010Rudolph","orcid":"https://orcid.org/0000-0003-0853-8334"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Garc\u00eda-Rudolph, Alejandro","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031678501","display_name":"Catalina Mart\u00ednez-Costa","orcid":"https://orcid.org/0000-0003-1857-1744"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mart\u00ednez-Costa, Catalina","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5111876758","display_name":"G\u00fcnter Neumann","orcid":"https://orcid.org/0000-0002-8929-2729"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Neumann, G\u00fcnter","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5036768397"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9926999807357788,"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"}},"topics":[{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9926999807357788,"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":0.9923999905586243,"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/T12151","display_name":"Interpreting and Communication in Healthcare","score":0.972000002861023,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7964528799057007},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.6704536080360413},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6556147336959839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5916481018066406},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5866259932518005},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5500872135162354},{"id":"https://openalex.org/keywords/f1-score","display_name":"F1 score","score":0.5491361021995544},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5295900702476501},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"Named-entity recognition","score":0.5146366357803345},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5041748285293579},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.49258023500442505},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.4423781931400299},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4183039963245392},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10388427972793579},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.10350489616394043}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7964528799057007},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.6704536080360413},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6556147336959839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5916481018066406},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5866259932518005},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5500872135162354},{"id":"https://openalex.org/C148524875","wikidata":"https://www.wikidata.org/wiki/Q6975395","display_name":"F1 score","level":2,"score":0.5491361021995544},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5295900702476501},{"id":"https://openalex.org/C2779135771","wikidata":"https://www.wikidata.org/wiki/Q403574","display_name":"Named-entity recognition","level":3,"score":0.5146366357803345},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5041748285293579},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.49258023500442505},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.4423781931400299},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4183039963245392},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10388427972793579},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.10350489616394043},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2204.04775","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.04775","pdf_url":"https://arxiv.org/pdf/2204.04775","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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2204.04775","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2204.04775","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":"pmh:oai:arXiv.org:2204.04775","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.04775","pdf_url":"https://arxiv.org/pdf/2204.04775","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":"","raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3149011051","https://openalex.org/W3116252395","https://openalex.org/W4281560212","https://openalex.org/W3180764077","https://openalex.org/W2791025012","https://openalex.org/W2769084352","https://openalex.org/W4386322467","https://openalex.org/W4385574021","https://openalex.org/W4254089628","https://openalex.org/W2997394673"],"abstract_inverted_index":{"Despite":[0],"the":[1,13,89,118,146,154,168,188],"advances":[2],"in":[3,18,50,58,65,80,117],"digital":[4],"healthcare":[5],"systems":[6],"offering":[7],"curated":[8],"structured":[9],"knowledge,":[10],"much":[11],"of":[12,21,94,111,195],"critical":[14],"information":[15,34,39],"still":[16],"lies":[17],"large":[19],"volumes":[20],"unlabeled":[22],"and":[23,101,108],"unstructured":[24],"clinical":[25,114],"texts.":[26],"These":[27],"texts,":[28],"which":[29,60],"often":[30,61],"contain":[31],"protected":[32],"health":[33],"(PHI),":[35],"are":[36,62],"exposed":[37],"to":[38,104,127,151,183],"extraction":[40],"tools":[41],"for":[42,77,96,141],"downstream":[43],"applications,":[44],"risking":[45],"patient":[46],"identification.":[47],"Existing":[48],"works":[49],"de-identification":[51,116],"rely":[52],"on":[53,153],"using":[54],"large-scale":[55],"annotated":[56],"corpora":[57],"English,":[59],"not":[63],"suitable":[64],"real-world":[66,109],"multilingual":[67],"settings.":[68,82],"Pre-trained":[69],"language":[70],"models":[71],"(LM)":[72],"have":[73],"shown":[74],"great":[75],"potential":[76],"cross-lingual":[78,91,178],"transfer":[79,92],"low-resource":[81,107],"In":[83],"this":[84],"work,":[85],"we":[86,133],"empirically":[87],"show":[88],"few-shot":[90,129,177],"property":[93],"LMs":[95],"named":[97],"entity":[98],"recognition":[99],"(NER)":[100],"apply":[102],"it":[103],"solve":[105],"a":[106,123,136,192],"challenge":[110],"code-mixed":[112],"(Spanish-Catalan)":[113],"notes":[115],"stroke":[119],"domain.":[120],"We":[121],"annotate":[122],"gold":[124,155],"evaluation":[125,156],"dataset":[126],"assess":[128],"setting":[130],"performance":[131],"where":[132],"only":[134],"use":[135],"few":[137],"hundred":[138],"labeled":[139],"examples":[140],"training.":[142],"Our":[143],"model":[144,190],"improves":[145],"zero-shot":[147],"F1-score":[148,194],"from":[149,167],"73.7%":[150],"91.2%":[152],"set":[157],"when":[158],"adapting":[159],"Multilingual":[160],"BERT":[161],"(mBERT)":[162],"(Devlin":[163],"et":[164,171],"al.,":[165,172],"2019)":[166,173],"MEDDOCAN":[169],"(Marimon":[170],"corpus":[174],"with":[175],"our":[176],"target":[179],"corpus.":[180],"When":[181],"generalized":[182],"an":[184],"out-of-sample":[185],"test":[186],"set,":[187],"best":[189],"achieves":[191],"human-evaluation":[193],"97.2%.":[196]},"counts_by_year":[],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2022-04-14T00:00:00"}
