To Test Machine Comprehension, Start by Defining Comprehension
Jesse Dunietz, Gregory Burnham, Akash Bharadwaj, Owen Rambow, Jennifer Chu-Carroll, David A. Ferrucci
Abstract
Many tasks aim to measure MACHINE READ-ING COMPREHENSION (MRC), often focusing on question types presumed to be difficult. Rarely, however, do task designers start by considering what systems should in fact comprehend. In this paper we make two key contributions. First, we argue that existing approaches do not adequately define comprehension; they are too unsystematic about what content is tested. Second, we present a detailed definition of comprehension-a TEM-PLATE OF UNDERSTANDING-for a widely useful class of texts, namely short narratives. We then conduct an experiment that strongly suggests existing systems are not up to the task of narrative understanding as we define it.
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Install the CLIlune papers fulltext f6072a2d-d3de-40ab-8aa7-945a6616564cCited by top-tier papers12
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