Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code
Matthew Roque, Nicole Abejuela, Shirley Chu, Melvin Cabatuan, Edwin Sybingco
- Anthology ID:
- 2024.paclic-1.35
- Volume:
- Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation
- Month:
- December
- Year:
- 2024
- Address:
- Tokyo, Japan
- Editors:
- Nathaniel Oco, Shirley N. Dita, Ariane Macalinga Borlongan, Jong-Bok Kim
- Venue:
- PACLIC
- SIG:
- Publisher:
- Tokyo University of Foreign Studies
- Note:
- Pages:
- 354–362
- Language:
- URL:
- https://preview.aclanthology.org/fix-sig-urls/2024.paclic-1.35/
- DOI:
- Cite (ACL):
- Matthew Roque, Nicole Abejuela, Shirley Chu, Melvin Cabatuan, and Edwin Sybingco. 2024. Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code. In Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, pages 354–362, Tokyo, Japan. Tokyo University of Foreign Studies.
- Cite (Informal):
- Legal Information Retrieval through Embedding Models and Synthetic Question Generation: Insights from the Philippine Tax Code (Roque et al., PACLIC 2024)
- PDF:
- https://preview.aclanthology.org/fix-sig-urls/2024.paclic-1.35.pdf