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We investigate neural models' ability to capture lexicosyntactic inferences: inferences triggered by the interaction of lexical and syntactic information. We take the task of event factuality prediction as a case study and build a factuality judgment dataset for all English clause-embedding verbs in various syntactic contexts. We use this dataset, which we make publicly available, to probe the behavior of current state-of-the-art neural systems, showing that these systems make certaindoi:10.18653/v1/d18-1501 dblp:conf/emnlp/WhiteRRD18 fatcat:kndiqv744bhtjhu6pgn65poejy