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assessing-funniness

NLP project in a team of three people: Vadim BECQUET, Joël TANG, Victor TEMPE. The project was done in the context of a short MSc coursework.

In line with the challenge Assessing the Funniness of Edited News Headlines (SemEval-2020), we describe some simple and more complex approaches to tackle with this task. Some of these methods use pre-trained embeddings, some not. These approaches are compared in their requirements, behaviour and performances.

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NLP project, related to the SemEval-2020 task

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