From zero to hero: Harnessing transformers for biomedical named entity recognition in zero- and few-shot contexts-Reference-Cited by-同舟云学术

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From zero to hero: Harnessing transformers for biomedical named entity recognition in zero- and few-shot contexts

Published:2024-10 Issue: Volume:156 Page:102970
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Košprdić Miloš^ORCID,Prodanović Nikola^ORCID,Ljajić Adela^ORCID,Bašaragin Bojana^ORCID,Milošević Nikola^ORCID

Publisher

Elsevier BV

Reference62 articles.

1. A survey on semi-supervised learning;Van Engelen;Mach Learn,2020

2. Evaluation of query expansion using MeSH in PubMed;Lu;Inf Retr,2009

3. MASK: A flexible framework to facilitate de-identification of clinical texts;Milosevic,2020

4. Combining knowledge-and data-driven methods for de-identification of clinical narratives;Dehghan;J Biomed Inform,2015

5. De-identification of clinical free text using natural language processing: A systematic review of current approaches;Kovačević;Artif Intell Med,2024

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