Med-EASi
Introduced by Basu et al. in Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts
Med-EASi (Medical dataset for Elaborative and Abstractive Simplification), a uniquely crowdsourced and finely annotated dataset for supervised simplification of short medical texts. It contains 1979 expert-simple text pairs in medical domain, spanning a total of 4478 UMLS concepts across all text pairs. The dataset is annotated with four textual transformations: replacement, elaboration, insertion and deletion.
Papers
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