Re-Examining FactBank: Predicting the Author's Presentation of Factuality
Year: 2022
Type: other
Abstract: We present a corrected version of a previous projection of the FactBank data set. Previously published results on FactBank are no longer valid. We perform experiments on FactBank using multiple training paradigms, data smoothing techniques, and polarity classifiers. We argue that f-measure is an important alternative evaluation metric for factuality. We provide new state-of-the-art results for four corpora including FactBank. We perform an error analysis on Factbank combined with two similar corpora.
Source: Underline Science Inc.
DOI: 10.48448/jner-0188
Authors: International Committee for Computational Linguistics 2022, Murzaku, John
Institution: Stony Brook University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6948120877
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