Annotation Artifacts Study
Matt and James delve into the impact of annotation artifacts on text generation and the challenges of bias in datasets, revealing how evidence plays a crucial role in determining claim accuracy. The discussion highlights the complexities of evaluating evidence in NLP datasets and the significance of finding the right evidence to support or refute claims.In this clip
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NLP Highlights
60 - FEVER: a large-scale dataset for Fact Extraction and VERification, with James Thorne
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