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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 NON-LINEAR THEORY FOR SENTENCE EMBEDDING
This paper revisits the Random Walk model for sentence embedding in the context of non-extensive statistics.
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