Localizing in-domain adaptation of transformer-based biomedical language models-Reference-Cited by-同舟云学术

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Localizing in-domain adaptation of transformer-based biomedical language models

Published:2023-08 Issue: Volume:144 Page:104431
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Buonocore Tommaso Mario^ORCID,Crema Claudio^ORCID,Redolfi Alberto^ORCID,Bellazzi Riccardo^ORCID,Parimbelli Enea^ORCID

Funder

Ministero dell'Economia e delle Finanze

European Union

Ministero della Salute

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference38 articles.

1. Clinical information extraction applications: A literature review;Wang;J. Biomed. Inform.,2018

2. Attention is all you need;Vaswani,2017

3. BERT: Pre-training of deep bidirectional transformers for language understanding;Devlin,2019

4. ELECTRA: Pre-training text encoders as discriminators rather than generators;Clark,2020

5. ALBERT: A lite BERT for self-supervised learning of language representations;Lan,2020

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1. Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries;Proceedings of the ACM Web Conference 2024;2024-05-13

2. Language Models for Hierarchical Classification of Radiology Reports With Attention Mechanisms, BERT, and GPT-4;IEEE Access;2024

3. DALLMi: Domain Adaption for LLM-Based Multi-label Classifier;Lecture Notes in Computer Science;2024

4. Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

5. Advancing Italian biomedical information extraction with transformers-based models: Methodological insights and multicenter practical application;Journal of Biomedical Informatics;2023-12

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