Neural models of factuality

April 06, 2018 ยท Declared Dead ยท ๐Ÿ› 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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