Biomedical Language Models are Robust to Sub-optimal Tokenization
Paper
• 2306.17649 • Published
• 1
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This biomedical language model uses a specialized biomedical tokenizer which is more closely aligned with human-morphological judgements than previous biomedical tokenizers such as PubMedBERT.
Details about our tokenizer design, pre-training procedure and downstream results can be found in our BioNLP @ ACL 2023 paper
license: apache-2.0
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