LTRC at SemEval-2023 Task 6: Experiments with Ensemble Embeddings

Pavan Baswani, Hiranmai Sri Adibhatla, Manish Shrivastava

Abstract
In this paper, we present our team’s involvement in Task 6: LegalEval: Understanding Legal Texts. The task comprised three subtasks, and we focus on subtask A: Rhetorical Roles prediction. Our approach included experimenting with pre-trained embeddings and refining them with statistical and neural classifiers. We provide a thorough examination ofour experiments, solutions, and analysis, culminating in our best-performing model and current progress. We achieved a micro F1 score of 0.6133 on the test data using fine-tuned LegalBERT embeddings.
Anthology ID:
2023.semeval-1.116
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:
841–846
Language:
URL:
https://aclanthology.org/2023.semeval-1.116
DOI:
10.18653/v1/2023.semeval-1.116
Bibkey:
Cite (ACL):
Pavan Baswani, Hiranmai Sri Adibhatla, and Manish Shrivastava. 2023. LTRC at SemEval-2023 Task 6: Experiments with Ensemble Embeddings. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 841–846, Toronto, Canada. Association for Computational Linguistics.
Cite (Informal):
LTRC at SemEval-2023 Task 6: Experiments with Ensemble Embeddings (Baswani et al., SemEval 2023)
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PDF:
https://preview.aclanthology.org/add_acl24_videos/2023.semeval-1.116.pdf
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