Neural models of factuality
April 06, 2018 ยท Declared Dead ยท ๐ North American Chapter of the Association for Computational Linguistics
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Authors
Rachel Rudinger, Aaron Steven White, Benjamin Van Durme
arXiv ID
1804.02472
Category
cs.CL: Computation & Language
Citations
88
Venue
North American Chapter of the Association for Computational Linguistics
Last Checked
3 months ago
Abstract
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.
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