Explaining Contextualized Word Embeddings in Biomedical Research - A Qualitative Investigation

Contextualized word embeddings proved to be highly successful quantitative representations of words that allow to efficiently solve various tasks such as clinical entity normalization in unstructured texts. In this paper, we investigate how the Saussurean sign theory can be used as a qualitative exp...

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Bibliographic Details
Main Authors: Miletic, M. (Author), Sariyar, M. (Author)
Format: Article
Language:English
Published: NLM (Medline) 2022
Subjects:
NLP
Online Access:View Fulltext in Publisher