On the "Easy" Task of Evaluating Chinese Irony Detection

Anran Li; Emmanuele Chersoni; Rong Xiang; Chu-ren Huang; Qin Lu

On the "Easy" Task of Evaluating Chinese Irony Detection

Anran Li, Emmanuele Chersoni, Rong Xiang, Chu-ren Huang, Qin Lu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC-33)
Editors	Ryo Otoguro, Mamoru Komachi, Tomoko Ohkuma
Pages	452–460
Publication status	Published - Sept 2019

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title = "On the {"}Easy{"} Task of Evaluating Chinese Irony Detection",

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.",

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On the "Easy" Task of Evaluating Chinese Irony Detection. / Li, Anran; Chersoni, Emmanuele; Xiang, Rong et al.
Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC-33). ed. / Ryo Otoguro; Mamoru Komachi; Tomoko Ohkuma. 2019. p. 452–460.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

M3 - Conference article published in proceeding or book

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BT - Proceedings of the 33rd Pacific Asia Conference on Language, Information and Computation (PACLIC-33)

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On the "Easy" Task of Evaluating Chinese Irony Detection

Abstract

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