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
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
Bibkey:
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)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2021.nllp-1.11.pdf