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Collier, Nigel (2)
Korhonen, Anna (2)
Liu, Fangyu (2)
Vulić, Ivan (2)
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Hits 1 – 2 of 2
1
Learning Domain-Specialised Representations for Cross-Lingual Biomedical Entity Linking ...
Liu, Fangyu
;
Vulić, Ivan
;
Korhonen, Anna
;
Collier, Nigel
. - : arXiv, 2021
Abstract:
Injecting external domain-specific knowledge (e.g., UMLS) into pretrained language models (LMs) advances their capability to handle specialised in-domain tasks such as biomedical entity linking (BEL). However, such abundant expert knowledge is available only for a handful of languages (e.g., English). In this work, by proposing a novel cross-lingual biomedical entity linking task (XL-BEL) and establishing a new XL-BEL benchmark spanning 10 typologically diverse languages, we first investigate the ability of standard knowledge-agnostic as well as knowledge-enhanced monolingual and multilingual LMs beyond the standard monolingual English BEL task. The scores indicate large gaps to English performance. We then address the challenge of transferring domain-specific knowledge in resource-rich languages to resource-poor ones. To this end, we propose and evaluate a series of cross-lingual transfer methods for the XL-BEL task, and demonstrate that general-domain bitext helps propagate the available English knowledge ... : ACL-IJCNLP 2021 ...
Keyword:
Artificial Intelligence cs.AI
;
Computation and Language cs.CL
;
FOS Computer and information sciences
;
Machine Learning cs.LG
URL:
https://dx.doi.org/10.48550/arxiv.2105.14398
https://arxiv.org/abs/2105.14398
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2
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders ...
Liu, Fangyu
;
Vulić, Ivan
;
Korhonen, Anna
. - : arXiv, 2021
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