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Enhancing PIO Element Detection in Medical Text Using Contextualized Embedding
The purpose of this study is two-fold: to build a training dataset for PIO element detection with minimum redundancy and ambiguity and to investigate possible options in utilizing state of the art embedding methods for the task of PIO element detection.
A Review of Standard Text Classification Practices for Multi-label Toxicity Identification of Online Content
In response, we focused on training a multi-label classifier to detect both the type and level of toxicity in online content.
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