TY - JOUR
T1 - Norm conflict identification in contracts
AU - Aires, João Paulo
AU - Pinheiro, Daniele
AU - Lima, Vera Strube de
AU - Meneguzzi, Felipe
N1 - Acknowledgements
We would like to thank HP PROFCSI for funding our research. Felipe thanks CNPq for support within Grant Number 306864/2016-4 under the PQ fellowship project.
PY - 2017/12/24
Y1 - 2017/12/24
N2 - 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.
AB - 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.
UR - https://doi.org/10.1007/s10506-017-9205-x
U2 - 10.1007/s10506-017-9205-x
DO - 10.1007/s10506-017-9205-x
M3 - Article
VL - 25
SP - 397
EP - 428
JO - Artificial Intelligence and Law
JF - Artificial Intelligence and Law
SN - 0924-8463
ER -