  We present two neural models for event factuality prediction, which yield
significant performance gains over previous models on three event factuality
datasets: FactBank, UW, and MEANTIME. We also present a substantial expansion
of the It Happened portion of the Universal Decompositional Semantics dataset,
yielding the largest event factuality dataset to date. We report model results
on this extended factuality dataset as well.
