@inproceedings{khazaeli-etal-2021-free,
title = "A Free Format Legal Question Answering System",
author = "Khazaeli, Soha and
Punuru, Janardhana and
Morris, Chad and
Sharma, Sanjay and
Staub, Bert and
Cole, Michael and
Chiu-Webster, Sunny and
Sakalley, Dhruv",
editor = "Aletras, Nikolaos and
Androutsopoulos, Ion and
Barrett, Leslie and
Goanta, Catalina and
Preotiuc-Pietro, Daniel",
booktitle = "Proceedings of the Natural Legal Language Processing Workshop 2021",
month = nov,
year = "2021",
address = "Punta Cana, Dominican Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.nllp-1.11",
doi = "10.18653/v1/2021.nllp-1.11",
pages = "107--113",
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.",
}
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%0 Conference Proceedings
%T A Free Format Legal Question Answering System
%A Khazaeli, Soha
%A Punuru, Janardhana
%A Morris, Chad
%A Sharma, Sanjay
%A Staub, Bert
%A Cole, Michael
%A Chiu-Webster, Sunny
%A Sakalley, Dhruv
%Y Aletras, Nikolaos
%Y Androutsopoulos, Ion
%Y Barrett, Leslie
%Y Goanta, Catalina
%Y Preotiuc-Pietro, Daniel
%S Proceedings of the Natural Legal Language Processing Workshop 2021
%D 2021
%8 November
%I Association for Computational Linguistics
%C Punta Cana, Dominican Republic
%F khazaeli-etal-2021-free
%X 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.
%R 10.18653/v1/2021.nllp-1.11
%U https://aclanthology.org/2021.nllp-1.11
%U https://doi.org/10.18653/v1/2021.nllp-1.11
%P 107-113
Markdown (Informal)
[A Free Format Legal Question Answering System](https://aclanthology.org/2021.nllp-1.11) (Khazaeli et al., NLLP 2021)
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.