UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference

@inproceedings{Kearns2019UWBHIAM,
  title={UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference},
  author={William R. Kearns and Wilson Lau and J. Thomas},
  booktitle={BioNLP@ACL},
  year={2019}
}
Recent advances in distributed language modeling have led to large performance increases on a variety of natural language processing (NLP) tasks. However, it is not well understood how these methods may be augmented by knowledge-based approaches. This paper compares the performance and internal representation of an Enhanced Sequential Inference Model (ESIM) between three experimental conditions based on the representation method: Bidirectional Encoder Representations from Transformers (BERT… Expand
1 Citations
Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering
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