PropSegmEnt
Introduced by Chen et al. in PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition
PropSegmEnt is a corpus of over 35K propositions annotated by expert human raters. The dataset structure resembles the tasks of (1) segmenting sentences within a document to the set of propositions, and (2) classifying the entailment relation of each proposition with respect to a different yet topically-aligned document, i.e. documents describing the same event or entity.
Source: PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment RecognitionPapers
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