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        <title>Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases</title>
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    <abstract>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.</abstract>
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%0 Conference Proceedings
%T Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases
%A Jensen, Kristian Nørgaard
%A Rasmussen, Nicolaj Filrup
%A Wang, Thai
%A Placenti, Marco
%A Plank, Barbara
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 dec
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F jensen-etal-2020-buhscitu
%X 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.
%R 10.18653/v1/2020.semeval-1.104
%U https://aclanthology.org/2020.semeval-1.104
%U https://doi.org/10.18653/v1/2020.semeval-1.104
%P 824-832

Markdown (Informal)

[Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases](https://aclanthology.org/2020.semeval-1.104) (Jensen et al., SemEval 2020)

• Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases (Jensen et al., SemEval 2020)

ACL

• Kristian Nørgaard Jensen, Nicolaj Filrup Rasmussen, Thai Wang, Marco Placenti, and Barbara Plank. 2020. Buhscitu at SemEval-2020 Task 7: Assessing Humour in Edited News Headlines Using Hand-Crafted Features and Online Knowledge Bases. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 824–832, Barcelona (online). International Committee for Computational Linguistics.