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Keyword: biomedical language models ×Clear all

2 claims from 1 paper

1. Computer Science › Topic Modeling

   MediBioDeBERTa: Biomedical Language Model With Continuous Learning and Intermediate Fine-Tuning

   Kim, Jeong and Choi · IEEE Access · 2023

   The paper proposes MediBioDeBERTa, a biomedical language model built by continued training of SciDeBERTa v2 and intermediate fine-tuning, and evaluates it on the BLURB benchmark.

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   1. Unchecked“In the SciERC dataset evaluation, SciDeBERTa v2 achieves the state-of-the-art model performance in the named entity recognition (NER) task.”
   2. UncheckedMediBioDeBERTa is reported to outperform existing state-of-the-art language models on biomedical NER, semantic similarity, QnA and the ChemProt task of BLURB.“The results demonstrate improved performance in three categories: named entity recognition (NER), semantic similarity (SS), and question-answering (QnA), as well as in the ChemProt relation extraction (RE) task on BLURB, compared with existing state-of-the-art LMs.”