Papers by Theodosia Togia

1 papers
Biomedical relation extraction with pre-trained language representations and minimal task-specific architecture (D19-57)

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Challenge: Using a pre-trained BERT-Base model, we learn domain-specific language representations using biomedical text.
Approach: They propose a system that extends BERT, a state-of-the-art language model, which learns contextual language representations from a large unlabelled corpus.
Outcome: The proposed model outperforms a baseline model while relying on an extremely simple setup with no specially engineered features.

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