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
Venues:
SemEval | *SEM
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
541–545
Language:
URL:
https://aclanthology.org/S18-1088
DOI:
10.18653/v1/S18-1088
Bibkey:
Cite (ACL):
Elena Mikhalkova, Yuri Karyakin, Alexander Voronov, Dmitry Grigoriev, and Artem Leoznov. 2018. PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 541–545, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
PunFields at SemEval-2018 Task 3: Detecting Irony by Tools of Humor Analysis (Mikhalkova et al., SemEval-*SEM 2018)
Copy Citation:
PDF:
https://aclanthology.org/S18-1088.pdf