Abstract
SemEval is the primary venue in the NLP community for the proposal of new challenges and for the systematic empirical evaluation of NLP systems. This paper provides a systematic quantitative analysis of SemEval aiming to evidence the patterns of the contributions behind SemEval. By understanding the distribution of task types, metrics, architectures, participation and citations over time we aim to answer the question on what is being evaluated by SemEval.- Anthology ID:
- 2021.eval4nlp-1.21
- Volume:
- Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems
- Month:
- November
- Year:
- 2021
- Address:
- Punta Cana, Dominican Republic
- Editors:
- Yang Gao, Steffen Eger, Wei Zhao, Piyawat Lertvittayakumjorn, Marina Fomicheva
- Venue:
- Eval4NLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 209–229
- Language:
- URL:
- https://aclanthology.org/2021.eval4nlp-1.21
- DOI:
- 10.18653/v1/2021.eval4nlp-1.21
- Cite (ACL):
- Oskar Wysocki, Malina Florea, Dónal Landers, and André Freitas. 2021. What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP. In Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, pages 209–229, Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP (Wysocki et al., Eval4NLP 2021)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2021.eval4nlp-1.21.pdf