{"id":"https://openalex.org/W7140146413","doi":"https://doi.org/10.18653/v1/2026.healing-1.8","title":"An Enhanced Training-Free Pipeline for Entity Recognition and Linking: A Low-Resource Case Study \u2013 20-th Century Historical Medical Texts","display_name":"An Enhanced Training-Free Pipeline for Entity Recognition and Linking: A Low-Resource Case Study \u2013 20-th Century Historical Medical Texts","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7140146413","doi":"https://doi.org/10.18653/v1/2026.healing-1.8"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.healing-1.8","doi":"https://doi.org/10.18653/v1/2026.healing-1.8","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.healing-1.8","pdf_url":"https://aclanthology.org/2026.healing-1.8.pdf","source":{"id":"https://openalex.org/S7407120713","display_name":"Workshop on Linguistic Analysis for Health (HeaLing)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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 1st Workshop on Linguistic Analysis for Health (HeaLing 2026)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aclanthology.org/2026.healing-1.8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111333867","display_name":"Phu-Vinh Nguyen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Phu-Vinh Nguyen","raw_affiliation_strings":["Uppsala University , Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Uppsala University , Sweden","institution_ids":["https://openalex.org/I123387679"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006114517","display_name":"Vera V. Danilova","orcid":"https://orcid.org/0000-0003-0868-522X","observed_orcids":["https://orcid.org/0000-0003-0868-522X"]},"institutions":[{"id":"https://openalex.org/I123387679","display_name":"Uppsala University","ror":"https://ror.org/048a87296","country_code":"SE","type":"education","lineage":["https://openalex.org/I123387679"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Vera Danilova","raw_affiliation_strings":["Uppsala University , Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Uppsala University , Sweden","institution_ids":["https://openalex.org/I123387679"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I123387679"],"apc_list":null,"apc_paid":null,"fwci":36.7752,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.98903647,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"94","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9800000190734863,"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":0.9800000190734863,"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/T10028","display_name":"Topic Modeling","score":0.01810000091791153,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.0003000000142492354,"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/entity-linking","display_name":"entity linking","score":0.7680000066757202},{"id":"https://openalex.org/keywords/entity-recognition","display_name":"entity recognition","score":0.8159999847412109},{"id":"https://openalex.org/keywords/training-free-methods","display_name":"training-free methods","score":0.7829999923706055},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.8569999933242798},{"id":"https://openalex.org/keywords/historical-medical-texts","display_name":"historical medical texts","score":0.9789999723434448},{"id":"https://openalex.org/keywords/biomedical-terminology","display_name":"biomedical terminology","score":0.5049999952316284},{"id":"https://openalex.org/keywords/resource-limited-settings","display_name":"resource-limited settings","score":0.6380000114440918},{"id":"https://openalex.org/keywords/out-of-distribution-generalization","display_name":"out-of-distribution generalization","score":0.8510000109672546},{"id":"https://openalex.org/keywords/confidence-estimation","display_name":"confidence estimation","score":0.7129999995231628},{"id":"https://openalex.org/keywords/end-to-end-pipeline","display_name":"end-to-end pipeline","score":0.722000002861023},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"named entity recognition","score":0.4650000035762787}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6545000076293945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5557000041007996},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3580000102519989},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.29829999804496765},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.29429998993873596},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.2842999994754791},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25679999589920044}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.18653/v1/2026.healing-1.8","doi":"https://doi.org/10.18653/v1/2026.healing-1.8","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.healing-1.8","pdf_url":"https://aclanthology.org/2026.healing-1.8.pdf","source":{"id":"https://openalex.org/S7407120713","display_name":"Workshop on Linguistic Analysis for Health (HeaLing)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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 1st Workshop on Linguistic Analysis for Health (HeaLing 2026)","raw_type":"proceedings-article"},{"id":"pmh:oai:DiVA.org:uu-583913","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-583913","pdf_url":null,"source":{"id":"https://openalex.org/S4306402042","display_name":"Uppsala University Publications (Uppsala University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I123387679","host_organization_name":"Uppsala University","host_organization_lineage":["https://openalex.org/I123387679"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.healing-1.8","doi":"https://doi.org/10.18653/v1/2026.healing-1.8","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.healing-1.8","pdf_url":"https://aclanthology.org/2026.healing-1.8.pdf","source":{"id":"https://openalex.org/S7407120713","display_name":"Workshop on Linguistic Analysis for Health (HeaLing)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320244","host_organization_name":"Association for Computational Linguistics","host_organization_lineage":["https://openalex.org/P4310320244"],"host_organization_lineage_names":["Association for Computational Linguistics"],"type":"conference"},"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 1st Workshop on Linguistic Analysis for Health (HeaLing 2026)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320324119","display_name":"Uppsala Universitet","ror":"https://ror.org/048a87296"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7140146413.pdf","grobid_xml":"https://content.openalex.org/works/W7140146413.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4413956452","https://openalex.org/W4226074807","https://openalex.org/W4385574140","https://openalex.org/W2997696205","https://openalex.org/W2101680936","https://openalex.org/W2740361350","https://openalex.org/W3021352513","https://openalex.org/W4407953354","https://openalex.org/W3153986565","https://openalex.org/W4412889539"],"abstract_inverted_index":{"Entity":[0],"linking":[1,65,85,99],"in":[2,16,23,123],"biomedicine":[3],"typically":[4],"relies":[5],"on":[6,47,59,87,106,137],"large":[7],"annotated":[8],"corpora":[9],"and":[10,37,71,91,98,118,133],"supervised":[11],"methods,":[12],"which":[13],"often":[14],"fail":[15],"out-of-distribution":[17],"settings.Historical":[18],"medical":[19,89],"texts":[20,90],"are":[21,35,135],"rich":[22],"biomedical":[24],"terms":[25,53,67],"but":[26],"pose":[27],"unique":[28],"challenges:":[29],"terminology":[30],"has":[31],"changed,":[32],"some":[33],"concepts":[34,70],"obsolete,":[36],"stylistic":[38],"differences":[39],"from":[40,50,75],"modern":[41,69,107],"journals":[42],"prevent":[43],"off-the-shelf":[44],"models":[45],"finetuned":[46],"contemporary":[48],"datasets":[49],"aligning":[51],"historical":[52,66,88],"with":[54,100],"current":[55],"ontologies.Training-free":[56],"methods":[57],"based":[58],"LLMs":[60],"offer":[61],"a":[62,81],"solution":[63],"by":[64],"to":[68,109,115],"inferring":[72],"their":[73,120],"meaning":[74],"context.In":[76],"this":[77],"paper,":[78],"we":[79],"evaluate":[80],"state-of-the-art":[82],"training-free":[83],"entity":[84,96],"method":[86],"propose":[92],"an":[93,127],"improved":[94],"pipeline-end-to-end":[95],"extraction":[97],"confidence":[101],"estimation.We":[102],"also":[103],"assess":[104],"performance":[105,122],"benchmarks":[108],"check":[110],"whether":[111],"the":[112,130],"gains":[113],"generalize":[114],"other":[116],"domains":[117],"show":[119],"superior":[121],"most":[124],"cases.We":[125],"report":[126],"analysis":[128],"of":[129],"findings.The":[131],"code":[132],"data":[134],"available":[136],"GitHub":[138],"1":[139]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2026-03-24T00:00:00"}
