@inproceedings{kalamkar-etal-2022-corpus,
title = "Corpus for Automatic Structuring of Legal Documents",
author = "Kalamkar, Prathamesh and
Tiwari, Aman and
Agarwal, Astha and
Karn, Saurabh and
Gupta, Smita and
Raghavan, Vivek and
Modi, Ashutosh",
editor = "Calzolari, Nicoletta and
B{\'e}chet, Fr{\'e}d{\'e}ric and
Blache, Philippe and
Choukri, Khalid and
Cieri, Christopher and
Declerck, Thierry and
Goggi, Sara and
Isahara, Hitoshi and
Maegaard, Bente and
Mariani, Joseph and
Mazo, H{\'e}l{\`e}ne and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.470",
pages = "4420--4429",
abstract = "In populous countries, pending legal cases have been growing exponentially. There is a need for developing techniques for processing and organizing legal documents. In this paper, we introduce a new corpus for structuring legal documents. In particular, we introduce a corpus of legal judgment documents in English that are segmented into topical and coherent parts. Each of these parts is annotated with a label coming from a list of pre-defined Rhetorical Roles. We develop baseline models for automatically predicting rhetorical roles in a legal document based on the annotated corpus. Further, we show the application of rhetorical roles to improve performance on the tasks of summarization and legal judgment prediction. We release the corpus and baseline model code along with the paper.",
}
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%0 Conference Proceedings
%T Corpus for Automatic Structuring of Legal Documents
%A Kalamkar, Prathamesh
%A Tiwari, Aman
%A Agarwal, Astha
%A Karn, Saurabh
%A Gupta, Smita
%A Raghavan, Vivek
%A Modi, Ashutosh
%Y Calzolari, Nicoletta
%Y Béchet, Frédéric
%Y Blache, Philippe
%Y Choukri, Khalid
%Y Cieri, Christopher
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Isahara, Hitoshi
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Hélène
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Thirteenth Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F kalamkar-etal-2022-corpus
%X In populous countries, pending legal cases have been growing exponentially. There is a need for developing techniques for processing and organizing legal documents. In this paper, we introduce a new corpus for structuring legal documents. In particular, we introduce a corpus of legal judgment documents in English that are segmented into topical and coherent parts. Each of these parts is annotated with a label coming from a list of pre-defined Rhetorical Roles. We develop baseline models for automatically predicting rhetorical roles in a legal document based on the annotated corpus. Further, we show the application of rhetorical roles to improve performance on the tasks of summarization and legal judgment prediction. We release the corpus and baseline model code along with the paper.
%U https://aclanthology.org/2022.lrec-1.470
%P 4420-4429
Markdown (Informal)
[Corpus for Automatic Structuring of Legal Documents](https://aclanthology.org/2022.lrec-1.470) (Kalamkar et al., LREC 2022)
ACL
- Prathamesh Kalamkar, Aman Tiwari, Astha Agarwal, Saurabh Karn, Smita Gupta, Vivek Raghavan, and Ashutosh Modi. 2022. Corpus for Automatic Structuring of Legal Documents. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 4420–4429, Marseille, France. European Language Resources Association.