Papers by Raghav Mani

1 papers
BioMegatron: Larger Biomedical Domain Language Model (2020.emnlp-main)

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Challenge: Existing studies on domain language models do not study the factors affecting performance on domain languages.
Approach: They empirically evaluate factors that can affect performance on domain language applications . sub-word vocabulary set, model size, pre-training corpus, and domain transfer are important .
Outcome: The results show language models trained on biomedical text perform better on biomedicine benchmarks than those trained on general domain text corpora.

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