Sabrina Spellman at SemEval-2023 Task 5: Discover the Shocking Truth Behind this Composite Approach to Clickbait Spoiling!
Simon Birkenheuer, Jonathan Drechsel, Paul Justen, Jimmy Phlmann, Julius Gonsior, Anja Reusch
Abstract
This paper describes an approach to automat- ically close the knowledge gap of Clickbait- Posts via a transformer model trained for Question-Answering, augmented by a task- specific post-processing step. This was part of the SemEval 2023 Clickbait shared task (Frbe et al., 2023a) - specifically task 2. We devised strategies to improve the existing model to fit the task better, e.g. with different special mod- els and a post-processor tailored to different inherent challenges of the task. Furthermore, we explored the possibility of expanding the original training data by using strategies from Heuristic Labeling and Semi-Supervised Learn- ing. With those adjustments, we were able to improve the baseline by 9.8 percentage points to a BLEU-4 score of 48.0%.- Anthology ID:
- 2023.semeval-1.134
- Volume:
- Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Atul Kr. Ojha, A. Seza Doğruöz, Giovanni Da San Martino, Harish Tayyar Madabushi, Ritesh Kumar, Elisa Sartori
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 969–977
- Language:
- URL:
- https://aclanthology.org/2023.semeval-1.134
- DOI:
- 10.18653/v1/2023.semeval-1.134
- Cite (ACL):
- Simon Birkenheuer, Jonathan Drechsel, Paul Justen, Jimmy Phlmann, Julius Gonsior, and Anja Reusch. 2023. Sabrina Spellman at SemEval-2023 Task 5: Discover the Shocking Truth Behind this Composite Approach to Clickbait Spoiling!. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 969–977, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Sabrina Spellman at SemEval-2023 Task 5: Discover the Shocking Truth Behind this Composite Approach to Clickbait Spoiling! (Birkenheuer et al., SemEval 2023)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2023.semeval-1.134.pdf