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Title: On the “easy” task of evaluating Chinese irony detection
Authors: Li, AR 
Chersoni ,E 
Xiang, R 
Huang, CR 
Lu, Q 
Issue Date: 2019
Source: Pacific Asia Conference on Language, Information and Computation (PACLIC 33), Hakodate, Japan, September 13-15, 2019, p. 452-460
Abstract: In this paper, we present a discussion on the problem in the evaluation of irony detection in Mandarin Chinese, especially due to the difficulties of finding an exhaustive definition and to the current lack of a gold standard for computational models. We describe some preliminary results of our experiments on an irony detection system for Chinese, and analyze examples of irony or other related phenomena that turned out to be challenging for NLP classifiers.
Rights: Copyright © 2019 An-Ran Li, Emmanuele Chersoni, Rong Xiang, Chu-Ren Huang and Qin Lu
Posted with permission of the author.
Appears in Collections:Conference Paper

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