On the "easy" task of evaluating Chinese irony detection

An Ran Li; Emmanuele Chersoni; Rong Xiang; Chu Ren Huang; Qin Lu

On the "easy" task of evaluating Chinese irony detection

An Ran Li, Emmanuele Chersoni, Rong Xiang, Chu Ren Huang, Qin Lu

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

3 Citations (Scopus)

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
Pages	452-460
Number of pages	9
Publication status	Published - 1 Jan 2019
Event	33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019 - Hakodate, Japan Duration: 13 Sept 2019 → 15 Sept 2019

Conference

Conference	33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019
Country/Territory	Japan
City	Hakodate
Period	13/09/19 → 15/09/19

ASJC Scopus subject areas

Language and Linguistics
Computer Science (miscellaneous)

Cite this

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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.",

author = "Li, {An Ran} and Emmanuele Chersoni and Rong Xiang and Huang, {Chu Ren} and Qin Lu",

year = "2019",

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On the "easy" task of evaluating Chinese irony detection. / Li, An Ran; Chersoni, Emmanuele; Xiang, Rong et al.
2019. 452-460 Paper presented at 33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019, Hakodate, Japan.

Research output: Unpublished conference presentation (presented paper, abstract, poster) › Conference presentation (not published in journal/proceeding/book) › Academic research › peer-review

TY - CONF

T1 - On the "easy" task of evaluating Chinese irony detection

AU - Li, An Ran

AU - Chersoni, Emmanuele

AU - Xiang, Rong

AU - Huang, Chu Ren

AU - Lu, Qin

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

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.

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M3 - Conference presentation (not published in journal/proceeding/book)

AN - SCOPUS:85084948837

SP - 452

EP - 460

T2 - 33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019

Y2 - 13 September 2019 through 15 September 2019

ER -

On the "easy" task of evaluating Chinese irony detection

Abstract

Conference

ASJC Scopus subject areas

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