Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases
Kristian Nørgaard Jensen, Nicolaj Filrup Rasmussen, Thai Wang, Marco Placenti, Barbara Plank · 2020
This paper describes our system to assess humour intensity in edited news headlines as part of a participation in 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.