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Artificial Intelligence and Law

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24-08-2017 | Original Research

Norm conflict identification in contracts

Authors: João Paulo Aires, Daniele Pinheiro, Vera Strube de Lima, Felipe Meneguzzi

Published in: Artificial Intelligence and Law | Issue 4/2017

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Abstract

The exchange of goods and services between individuals is often formalised by a contract in which the parties establish norms to define what is expected of each one. Norms use deontic statements of obligation, prohibition, and permission, which may be in conflict. The task of manually detecting norm conflicts can be time–consuming and error-prone since contracts can be vast and complex. To automate such tasks, we develop an approach to identify potential conflicts between norms. We show the effectiveness of our approach and its individual components empirically using two publicly available corpora, and contribute with a new annotated test corpus for norm conflict identification.

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http://goo.gl/lE3q6H and http://goo.gl/E8brjp.

http://sourceforge.net/projects/jirs/

https://github.com/JoaoPauloAires/norm-dataset.

This code is available at https://github.com/JoaoPauloAires/potential-conflict-identifier.

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Title: Norm conflict identification in contracts
Authors: João Paulo Aires
Daniele Pinheiro
Vera Strube de Lima
Felipe Meneguzzi
Publication date: 24-08-2017
Publisher: Springer Netherlands
Published in: Artificial Intelligence and Law / Issue 4/2017
Print ISSN: 0924-8463
Electronic ISSN: 1572-8382
DOI: https://doi.org/10.1007/s10506-017-9205-x

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