Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases
2020-12-01SEMEVALUnverified0· sign in to hype
Kristian N{\o}rgaard Jensen, Nicolaj Filrup Rasmussen, Thai Wang, Marco Placenti, Barbara Plank
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
This paper describes a system that aims at assessing humour intensity in edited news headlines as part of the 7th task of SemEval-2020 on ``Humor, Emphasis and Sentiment''. Various factors need to be accounted for in order to assess the funniness of an edited headline. We propose an architecture that uses hand-crafted features, knowledge bases and a language model to understand humour, and combines them in a regression model. Our system outperforms two baselines. In general, automatic humour assessment remains a difficult task.