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Proceedings of the Second Workshop on Understanding Implicit and Underspecified Language
An intelligent system is expected to perform reasonable inferences, accounting for both the literal meaning of a word and the meanings a word can acquire in different contexts. A specific kind of inference concerns the connective and, which in some cases gives rise to a temporal succession or causal interpretation in contrast with the logic, commutative one (Levinson, 2000) . In this work, we investigate the phenomenon by creating a new dataset for evaluating the interpretation of and by NLIdoi:10.18653/v1/2022.unimplicit-1.2 fatcat:paecwkwttjch3piunyx4eon6lu