research-article

FrameNet model of the suspension of norms

Authors:

Monica Palmirani,

Daniele Radicioni,

Alessandro MazzeiAuthors Info & Claims

ICAIL '11: Proceedings of the 13th International Conference on Artificial Intelligence and Law

Pages 189 - 193

https://doi.org/10.1145/2018358.2018385

Published: 06 June 2011 Publication History

Abstract

One open problem in the AI & Law community is how to provide computers with a basic understanding of legal concepts, and their relationship with legal texts and with the legal lexicon. We propose to add a layer to connect the linguistic description of the provisions to syntactic patterns using FramNet that can be exploited thought NLP tools. A deep-parsing and shallow-semantics approach has been devised to interpret and retrieve the characterizing components of legal modificatory provisions. In this paper we single out the case of efficacy suspension and show how FrameNet approach can provide profit especially to isolate temporal parameters and their interpretation.

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Cited By

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https://doi.org/10.1186/s12911-020-01237-4
Vannoni MAsh EMorelli M(2020)Measuring Discretion and Delegation in Legislative Texts: Methods and Application to US StatesPolitical Analysis10.1017/pan.2020.929:1(43-57)Online publication date: 26-May-2020
https://doi.org/10.1017/pan.2020.9
Humphreys LBoella Gvan der Torre LRobaldo LDi Caro LGhanavati SMuthuri R(2020)Populating legal ontologies using semantic role labelingArtificial Intelligence and Law10.1007/s10506-020-09271-3Online publication date: 24-Jun-2020
https://doi.org/10.1007/s10506-020-09271-3
Show More Cited By

Index Terms

FrameNet model of the suspension of norms
1. Applied computing
  1. Enterprise computing
  2. Law, social and behavioral sciences
    1. Law
2. Computing methodologies
  1. Modeling and simulation
    1. Model development and analysis

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Published In

cover image ACM Other conferences

ICAIL '11: Proceedings of the 13th International Conference on Artificial Intelligence and Law

June 2011

270 pages

ISBN:9781450307550

DOI:10.1145/2018358

Conference Chair:
Kevin Ashley
University of Pittsburgh School of Law, Pittsburgh, PA MAIL@[email protected]
,
Program Chair:
Tom van Engers
Leibniz Center for Law, University of Amsterdam, Amsterdam, The Netherlands MAIL@[email protected]

Copyright © 2011 Authors.

Sponsors

The International Association for Artificial Intelligence and Law
AAAI: Am Assoc for Artifical Intelligence
PittLaw: U. of Pittsburgh School of Law

In-Cooperation

SIGAI: ACM Special Interest Group on Artificial Intelligence

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2011

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ICAIL '11

Sponsor:

AAAI
PittLaw

ICAIL '11: International Conference on Artificial Intelligence and Law

June 6 - 10, 2011

Pennsylvania, Pittsburgh

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Overall Acceptance Rate 69 of 169 submissions, 41%

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Cited By

Mensa EColla DDalmasso MGiustini MMamo CPitidis ARadicioni D(2020)Violence detection explanation via semantic roles embeddingsBMC Medical Informatics and Decision Making10.1186/s12911-020-01237-420:1Online publication date: 15-Oct-2020
https://doi.org/10.1186/s12911-020-01237-4
Vannoni MAsh EMorelli M(2020)Measuring Discretion and Delegation in Legislative Texts: Methods and Application to US StatesPolitical Analysis10.1017/pan.2020.929:1(43-57)Online publication date: 26-May-2020
https://doi.org/10.1017/pan.2020.9
Humphreys LBoella Gvan der Torre LRobaldo LDi Caro LGhanavati SMuthuri R(2020)Populating legal ontologies using semantic role labelingArtificial Intelligence and Law10.1007/s10506-020-09271-3Online publication date: 24-Jun-2020
https://doi.org/10.1007/s10506-020-09271-3
Ceci MButler TO’Brien LAl Khalil F(2018)Legal Patterns for Different Constitutive RulesAI Approaches to the Complexity of Legal Systems10.1007/978-3-030-00178-0_7(105-123)Online publication date: 23-Oct-2018
https://doi.org/10.1007/978-3-030-00178-0_7
de Araujo DRigo SBarbosa J(2017)Ontology-based information extraction for juridical events with case studies in Brazilian legal realmArtificial Intelligence and Law10.1007/s10506-017-9203-z25:4(379-396)Online publication date: 24-Jul-2017
https://doi.org/10.1007/s10506-017-9203-z
Ceci MGangemi A(2016)An OWL ontology library representing judicial interpretationsSemantic Web10.3233/SW-1401467:3(229-253)Online publication date: 23-Mar-2016
https://doi.org/10.3233/SW-140146
Araujo DRigo SMuller CChishman R(2013)Automatic Information Extraction from Texts with Inference and Linguistic Knowledge Acquisition RulesProceedings of the 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) - Volume 0310.1109/WI-IAT.2013.171(151-154)Online publication date: 17-Nov-2013
https://dl.acm.org/doi/10.1109/WI-IAT.2013.171

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