KLUEnicorn at SemEval-2018 Task 3: A Naive Approach to Irony Detection

Luise Dürlich


Abstract
This paper describes the KLUEnicorn system submitted to the SemEval-2018 task on “Irony detection in English tweets”. The proposed system uses a naive Bayes classifier to exploit rather simple lexical, pragmatical and semantical features as well as sentiment. It further takes a closer look at different adverb categories and named entities and factors in word-embedding information.
Anthology ID:
S18-1099
Volume:
Proceedings of The 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
607–612
Language:
URL:
https://www.aclweb.org/anthology/S18-1099
DOI:
10.18653/v1/S18-1099
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1099.pdf