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A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
2018
Proceedings of the Workshop on Machine Reading for Question Answering
The recent work of introduces the AI2 Reasoning Challenge (ARC) and the associated ARC dataset that partitions open domain, complex science questions into an Easy Set and a Challenge Set. That paper includes an analysis of 100 questions with respect to the types of knowledge and reasoning required to answer them; however, it does not include clear definitions of these types, nor does it offer information about the quality of the labels. We propose a comprehensive set of definitions of knowledge
doi:10.18653/v1/w18-2607
dblp:conf/acl/BoratkoPMYDMCFK18
fatcat:om56vgxk4zaqjlruvzntwqrr7e