PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis

Elena Mikhalkova, Yuri Karyakin, Alexander Voronov, Dmitry Grigoriev, Artem Leoznov


Abstract
The paper describes our search for a universal algorithm of detecting intentional lexical ambiguity in different forms of creative language. At SemEval-2018 Task 3, we used PunFields, the system of automatic analysis of English puns that we introduced at SemEval-2017, to detect irony in tweets. Preliminary tests showed that it can reach the score of F1=0.596. However, at the competition, its result was F1=0.549.
Anthology ID:
S18-1088
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:
541–545
Language:
URL:
https://www.aclweb.org/anthology/S18-1088
DOI:
10.18653/v1/S18-1088
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1088.pdf