Neural models of factuality
Rachel Rudinger, Aaron Steven White, Benjamin Van Durme
March 2018

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.
Format: [ pdf ]
Reference: lingbuzz/003969
(please use that when you cite this article)
Published in: Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics
keywords: implicative verbs, factive verbs, veridicality, neural networks, semantics, syntax
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