Evaluating the Utility of Model Configurations and Data Augmentation on Clinical Semantic Textual Similarity

WS 2020 Yuxia WangFei LiuKarin VerspoorTimothy Baldwin

In this paper, we apply pre-trained language models to the Semantic Textual Similarity (STS) task, with a specific focus on the clinical domain. In low-resource setting of clinical STS, these large models tend to be impractical and prone to overfitting... (read more)

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