A Free Format Legal Question Answering System
Soha Khazaeli, Janardhana Punuru, Chad Morris, Sanjay Sharma, Bert Staub, Michael Cole, Sunny Chiu-Webster, Dhruv Sakalley
Abstract
We present an information retrieval-based question answer system to answer legal questions. The system is not limited to a predefined set of questions or patterns and uses both sparse vector search and embeddings for input to a BERT-based answer re-ranking system. A combination of general domain and legal domain data is used for training. This natural question answering system is in production and is used commercially.- Anthology ID:
- 2021.nllp-1.11
- Volume:
- Proceedings of the Natural Legal Language Processing Workshop 2021
- Month:
- November
- Year:
- 2021
- Address:
- Punta Cana, Dominican Republic
- Editors:
- Nikolaos Aletras, Ion Androutsopoulos, Leslie Barrett, Catalina Goanta, Daniel Preotiuc-Pietro
- Venue:
- NLLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 107–113
- Language:
- URL:
- https://aclanthology.org/2021.nllp-1.11
- DOI:
- 10.18653/v1/2021.nllp-1.11
- Cite (ACL):
- Soha Khazaeli, Janardhana Punuru, Chad Morris, Sanjay Sharma, Bert Staub, Michael Cole, Sunny Chiu-Webster, and Dhruv Sakalley. 2021. A Free Format Legal Question Answering System. In Proceedings of the Natural Legal Language Processing Workshop 2021, pages 107–113, Punta Cana, Dominican Republic. Association for Computational Linguistics.
- Cite (Informal):
- A Free Format Legal Question Answering System (Khazaeli et al., NLLP 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2021.nllp-1.11.pdf