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Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines

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arxiv 2009.02795 v1 pith:QTZKOYPQ submitted 2020-09-06 cs.CL

Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines

Shuning Jin , Yue Yin , XianE Tang , Ted Pedersen This is my paper
classification cs.CL
keywords headlineseditedgetssemeval-2020submissionssubtasksurprisesystem
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We use pretrained transformer-based language models in SemEval-2020 Task 7: Assessing the Funniness of Edited News Headlines. Inspired by the incongruity theory of humor, we use a contrastive approach to capture the surprise in the edited headlines. In the official evaluation, our system gets 0.531 RMSE in Subtask 1, 11th among 49 submissions. In Subtask 2, our system gets 0.632 accuracy, 9th among 32 submissions.

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