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"YOU SHOULD PROBABLY READ THIS'': HEDGE DETECTION IN TEXT

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Citation Author(s):
Denys Katerenchuk, Rivka Levitan
Submitted by:
Denys Katerenchuk
Last updated:
29 June 2021 - 12:26pm
Document Type:
Poster
Document Year:
2021
Event:
Presenters Name:
Denys Katerenchuk
Paper Code:
HLT-13.6

Abstract 

Abstract: 

Humans express ideas, beliefs, and statements through language. The manner of expression can carry information indicating the author's degree of confidence in their statement. Understanding the certainty level of a claim is crucial in areas such as medicine, finance, engineering, and many others where errors can lead to disastrous results. In this work, we apply a joint model that leverages words and part-of-speech tags to improve hedge detection in text and achieve a new top score on the CoNLL-2010 Wikipedia corpus.

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Dataset Files

hedge_icassp_2021.pdf

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