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WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-Hop Inference
[article]
2018
arXiv
pre-print
Developing methods of automated inference that are able to provide users with compelling human-readable justifications for why the answer to a question is correct is critical for domains such as science and medicine, where user trust and detecting costly errors are limiting factors to adoption. One of the central barriers to training question answering models on explainable inference tasks is the lack of gold explanations to serve as training data. In this paper we present a corpus of
arXiv:1802.03052v1
fatcat:sn74to3szvg2nedluexrbibr4a