TakeLab at SemEval-2017 Task 6: #RankingHumorIn4Pages

Marin Kukovačec, Juraj Malenica, Ivan Mršić, Antonio Šajatović, Domagoj Alagić, Jan Šnajder


Abstract
This paper describes our system for humor ranking in tweets within the SemEval 2017 Task 6: #HashtagWars (6A and 6B). For both subtasks, we use an off-the-shelf gradient boosting model built on a rich set of features, handcrafted to provide the model with the external knowledge needed to better predict the humor in the text. The features capture various cultural references and specific humor patterns. Our system ranked 2nd (officially 7th) among 10 submissions on the Subtask A and 2nd among 9 submissions on the Subtask B.
Anthology ID:
S17-2066
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
396–400
Language:
URL:
https://www.aclweb.org/anthology/S17-2066
DOI:
10.18653/v1/S17-2066
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2066.pdf