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
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 certain systematic errors that are clearly visible through
the lens of factuality prediction.