ConCon: A contract conflict identifier: Demonstration

João Paulo Aires; Roger Granada; Felipe Meneguzzi

ConCon: A contract conflict identifier: Demonstration

João Paulo Aires, Roger Granada, Felipe Meneguzzi

Pontifícia Universidade Católica do Rio Grande do Sul

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

1 Citation (Scopus)

Abstract

Contracts are the main medium through which people and legal entities formalise their trade relations, be they the exchange of goods or the specification of mutual obligations. While electronic contracts allow automated processes to verify their correctness, most agreements in the real world are still encoded in contracts written in natural language, necessitating substantial human revision effort to eliminate possible conflicting statements, especially for long and complex contracts. We demonstrate the ConCon (Contract Conflicts) tool, to automatically read natural language contracts and indicate potential conflicts among their clauses. Using our tool, legal professionals and the general public can benefit from a ranking of potential conflicts between the clauses in a contract, saving time and effort from legal experts in contract proof-reading.

Original language	English
Title of host publication	18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
Publisher	International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Pages	2327-2329
Number of pages	3
ISBN (Electronic)	9781510892002
Publication status	Published - 2019
Externally published	Yes
Event	18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 - Montreal, Canada Duration: 13 May 2019 → 17 May 2019

Conference

Conference	18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019
Country/Territory	Canada
City	Montreal
Period	13/05/19 → 17/05/19

Bibliographical note

Funding Information:
This study was financed in part by the CAPES - Finance Code 001, and CAPES/FAPERGS agreement (DOCFIX 04/2018). We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research. We thank Google Research Awards for Latin America for funding part of our project.

Publisher Copyright:
© 2019 International Foundation for Autonomous Agents and Multiagent Systems.

Keywords

Natural language processing
Norm conflicts
Norms
Semantic representation

Cite this

ConCon: A contract conflict identifier: Demonstration. / Aires, João Paulo; Granada, Roger; Meneguzzi, Felipe.
18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2019. p. 2327-2329.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Aires, JP, Granada, R & Meneguzzi, F 2019, ConCon: A contract conflict identifier: Demonstration. in 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), pp. 2327-2329, 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019, Montreal, Canada, 13/05/19.

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title = "ConCon: A contract conflict identifier: Demonstration",

abstract = "Contracts are the main medium through which people and legal entities formalise their trade relations, be they the exchange of goods or the specification of mutual obligations. While electronic contracts allow automated processes to verify their correctness, most agreements in the real world are still encoded in contracts written in natural language, necessitating substantial human revision effort to eliminate possible conflicting statements, especially for long and complex contracts. We demonstrate the ConCon (Contract Conflicts) tool, to automatically read natural language contracts and indicate potential conflicts among their clauses. Using our tool, legal professionals and the general public can benefit from a ranking of potential conflicts between the clauses in a contract, saving time and effort from legal experts in contract proof-reading.",

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author = "Aires, {Jo{\~a}o Paulo} and Roger Granada and Felipe Meneguzzi",

note = "Funding Information: This study was financed in part by the CAPES - Finance Code 001, and CAPES/FAPERGS agreement (DOCFIX 04/2018). We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research. We thank Google Research Awards for Latin America for funding part of our project. Publisher Copyright: {\textcopyright} 2019 International Foundation for Autonomous Agents and Multiagent Systems.; 18th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2019 ; Conference date: 13-05-2019 Through 17-05-2019",

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AU - Granada, Roger

AU - Meneguzzi, Felipe

N1 - Funding Information: This study was financed in part by the CAPES - Finance Code 001, and CAPES/FAPERGS agreement (DOCFIX 04/2018). We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research. We thank Google Research Awards for Latin America for funding part of our project. Publisher Copyright: © 2019 International Foundation for Autonomous Agents and Multiagent Systems.

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AB - Contracts are the main medium through which people and legal entities formalise their trade relations, be they the exchange of goods or the specification of mutual obligations. While electronic contracts allow automated processes to verify their correctness, most agreements in the real world are still encoded in contracts written in natural language, necessitating substantial human revision effort to eliminate possible conflicting statements, especially for long and complex contracts. We demonstrate the ConCon (Contract Conflicts) tool, to automatically read natural language contracts and indicate potential conflicts among their clauses. Using our tool, legal professionals and the general public can benefit from a ranking of potential conflicts between the clauses in a contract, saving time and effort from legal experts in contract proof-reading.

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KW - Norm conflicts

KW - Norms

KW - Semantic representation

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ER -

ConCon: A contract conflict identifier: Demonstration

Abstract

Conference

Bibliographical note

Keywords

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Cite this