Chick Adams at SemEval-2023 Task 5: Using RoBERTa and DeBERTa to Extract Post and Document-based Features for Clickbait Spoiling

Ronghao Pan, José Antonio García-Díaz, Franciso García-Sánchez, Rafael Valencia-García


Abstract
In this manuscript, we describe the participation of the UMUTeam in SemEval-2023 Task 5, namely, Clickbait Spoiling, a shared task on identifying spoiler type (i.e., a phrase or a passage) and generating short texts that satisfy curiosity induced by a clickbait post, i.e. generating spoilers for the clickbait post. Our participation in Task 1 is based on fine-tuning pre-trained models, which consists in taking a pre-trained model and tuning it to fit the spoiler classification task. Our system has obtained excellent results in Task 1: we outperformed all proposed baselines, being within the Top 10 for most measures. Foremost, we reached Top 3 in F1 score in the passage spoiler ranking.
Anthology ID:
2023.semeval-1.85
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:
624–628
Language:
URL:
https://aclanthology.org/2023.semeval-1.85
DOI:
10.18653/v1/2023.semeval-1.85
Bibkey:
Cite (ACL):
Ronghao Pan, José Antonio García-Díaz, Franciso García-Sánchez, and Rafael Valencia-García. 2023. Chick Adams at SemEval-2023 Task 5: Using RoBERTa and DeBERTa to Extract Post and Document-based Features for Clickbait Spoiling. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 624–628, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
Chick Adams at SemEval-2023 Task 5: Using RoBERTa and DeBERTa to Extract Post and Document-based Features for Clickbait Spoiling (Pan et al., SemEval 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-3/2023.semeval-1.85.pdf