Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2661-8907

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models ; volume:3 ; number:5 ; day:21 ; month:7 ; year:2022 ; pages:1-20 ; date:9.2022
SN Computer Science ; 3, Heft 5 (21.7.2022), 1-20, 9.2022

Creator: Lin, Ying-Chi
Hoffmann, Phillip
Rahm, Erhard

Contributor: SpringerLink (Online service)

DOI: 10.1007/s42979-022-01295-7

URN: urn:nbn:de:101:1-2022120621194999734219

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:22 AM CEST

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Lin, Ying-Chi
Hoffmann, Phillip
Rahm, Erhard
SpringerLink (Online service)

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Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models

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Other Objects (12)

Correction: Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models

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Cross-lingual link discovery for under-resourced languages

Cross-lingual frame comparability : computational and linguistic perspectives

Correction: Enhancing Cross-lingual Biomedical Concept Normalization Using Deep Neural Network Pretrained Language Models

Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization

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Cross-lingual question answering

Cross-lingual extreme summarization of scholarly documents

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