EMNLP 2023long main0 citations

What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions

Abhilasha Sancheti, Aparna Garimella, Balaji Vasan Srinivasan, Rachel Rudinger

Abstract

Reviewing and comprehending key obligations, entitlements, and prohibitions in legal contracts can be a tedious task due to their length and domain-specificity. Furthermore, the key rights and duties requiring review vary for each contracting party. In this work, we propose a new task of \textit{party-specific} extractive summarization for legal contracts to facilitate faster reviewing and improved comprehension of rights and duties. To facilitate this, we curate a dataset comprising of party-specific pairwise importance comparisons annotated by legal experts, covering ~293K sentence pairs that include obligations, entitlements, and prohibitions extracted from lease agreements. Using this dataset, we train a pairwise importance ranker and propose a pipeline-based extractive summarization system that generates a party-specific contract summary. We establish the need for incorporating domain-specific notions of importance during summarization by comparing our system against various baselines using both automatic and human evaluation methods.

Legal NLPRights and Obligation ExtractionSummarizationImportance Ranking
BibTeX
@inproceedings{
sancheti2023what,
title={What to Read in a Contract? Party-Specific Summarization of Legal Obligations, Entitlements, and Prohibitions},
author={Abhilasha Sancheti and Aparna Garimella and Balaji Vasan Srinivasan and Rachel Rudinger},
booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing},
year={2023},
url={https://openreview.net/forum?id=4GmujJSuq0}
}