Abstract
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.
| Original language | English (US) |
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| Title of host publication | 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings |
| Editors | Aurelie Herbelot, Xiaodan Zhu, Alexis Palmer, Nathan Schneider, Jonathan May, Ekaterina Shutova |
| Publisher | International Committee for Computational Linguistics |
| Pages | 986-994 |
| Number of pages | 9 |
| ISBN (Electronic) | 9781952148316 |
| DOIs | |
| State | Published - 2020 |
| Externally published | Yes |
| Event | 14th International Workshops on Semantic Evaluation, SemEval 2020 - Barcelona, Spain Duration: Dec 12 2020 → Dec 13 2020 |
Publication series
| Name | 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings |
|---|
Conference
| Conference | 14th International Workshops on Semantic Evaluation, SemEval 2020 |
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| Country/Territory | Spain |
| City | Barcelona |
| Period | 12/12/20 → 12/13/20 |
Bibliographical note
Publisher Copyright:© 2020 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings. All rights reserved.