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    <abstract>This paper presents the integration of WordNet knowledge resource into ClinIDMap tool, which aims to map identifiers between clinical ontologies and lexical resources. ClinIDMap interlinks identifiers from UMLS, SMOMED-CT, ICD-10 and the corresponding Wikidata and Wikipedia articles for concepts from the UMLS Metathesaurus. The main goal of the tool is to provide semantic interoperability across the clinical concepts from various knowledge bases. As a side effect, the mapping enriches already annotated medical corpora in multiple languages with new labels. In this new release, we add WordNet 3.0 and 3.1 synsets using the available mappings through Wikidata. Thanks to cross-lingual links in MCR we also include the corresponding synsets in other languages and also, extend further ClinIDMap with different domain information. Finally, the final resource helps in the task of enriching of already annotated clinical corpora with additional semantic annotations.</abstract>
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%0 Conference Proceedings
%T Towards the integration of WordNet into ClinIDMap
%A Zotova, Elena
%A Cuadros, Montse
%A Rigau, German
%Y Rigau, German
%Y Bond, Francis
%Y Rademaker, Alexandre
%S Proceedings of the 12th Global Wordnet Conference
%D 2023
%8 January
%I Global Wordnet Association
%C University of the Basque Country, Donostia - San Sebastian, Basque Country
%F zotova-etal-2023-towards
%X This paper presents the integration of WordNet knowledge resource into ClinIDMap tool, which aims to map identifiers between clinical ontologies and lexical resources. ClinIDMap interlinks identifiers from UMLS, SMOMED-CT, ICD-10 and the corresponding Wikidata and Wikipedia articles for concepts from the UMLS Metathesaurus. The main goal of the tool is to provide semantic interoperability across the clinical concepts from various knowledge bases. As a side effect, the mapping enriches already annotated medical corpora in multiple languages with new labels. In this new release, we add WordNet 3.0 and 3.1 synsets using the available mappings through Wikidata. Thanks to cross-lingual links in MCR we also include the corresponding synsets in other languages and also, extend further ClinIDMap with different domain information. Finally, the final resource helps in the task of enriching of already annotated clinical corpora with additional semantic annotations.
%U https://aclanthology.org/2023.gwc-1.42
%P 352-362

Markdown (Informal)

[Towards the integration of WordNet into ClinIDMap](https://aclanthology.org/2023.gwc-1.42) (Zotova et al., GWC 2023)

• Towards the integration of WordNet into ClinIDMap (Zotova et al., GWC 2023)

ACL

• Elena Zotova, Montse Cuadros, and German Rigau. 2023. Towards the integration of WordNet into ClinIDMap. In Proceedings of the 12th Global Wordnet Conference, pages 352–362, University of the Basque Country, Donostia - San Sebastian, Basque Country. Global Wordnet Association.