Abstract
This paper describes our system for SemEval-2023 Task 6: LegalEval: Understanding Legal Texts. We only participate in Sub-Task (A), Predicting Rhetorical Roles. Our final submission achieves 73.35 test set F1 score, ranking 17th of 27 participants. The proposed method combines global and local models of label distributions and transitions between labels. Through our analyses, we show that especially modelling the temporal distribution of labels contributes positively to performance.- Anthology ID:
- 2023.semeval-1.35
- 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:
- 262–269
- Language:
- URL:
- https://aclanthology.org/2023.semeval-1.35
- DOI:
- 10.18653/v1/2023.semeval-1.35
- Cite (ACL):
- Henrik Manegold and Leander Girrbach. 2023. TüReuth Legal at SemEval-2023 Task 6: Modelling Local and Global Structure of Judgements for Rhetorical Role Prediction. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 262–269, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- TüReuth Legal at SemEval-2023 Task 6: Modelling Local and Global Structure of Judgements for Rhetorical Role Prediction (Manegold & Girrbach, SemEval 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-3/2023.semeval-1.35.pdf