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Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

1 Citation (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 languageEnglish
Pages452-460
Number of pages9
Publication statusPublished - 1 Jan 2019
Event33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019 - Hakodate, Japan
Duration: 13 Sep 201915 Sep 2019

Conference

Conference33rd Pacific Asia Conference on Language, Information and Computation, PACLIC 2019
CountryJapan
CityHakodate
Period13/09/1915/09/19

ASJC Scopus subject areas

  • Language and Linguistics
  • Computer Science (miscellaneous)

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