Representation and reasoning with temporal expressions in the legal domain

Navas Loro, María (2017). Representation and reasoning with temporal expressions in the legal domain. In: "Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @ RuleML+RR 2017", 12-15 Jul 2017, Londres, Reino Unido. pp. 1-8.

Description

Title: Representation and reasoning with temporal expressions in the legal domain
Author/s:
  • Navas Loro, María
Item Type: Presentation at Congress or Conference (Article)
Event Title: Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @ RuleML+RR 2017
Event Dates: 12-15 Jul 2017
Event Location: Londres, Reino Unido
Title of Book: Proceedings of the Doctoral Consortium, Challenge, Industry Track, Tutorials and Posters @ RuleML+RR 2017
Date: 2017
Volume: 1875
Subjects:
Freetext Keywords: Temporal constraints; Temporal reasoning; Temporal representation; Legal domain; Natural Language Processing
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Reasoning on temporal references present in free text documents is a challenging problem demanding the synergy of several disciplines in Artificial Intelligence. First, Natural Language Processing (NLP) techniques are necessary to mine temporal expressions (referring to instants and events) and their relations; then, knowledge representation systems able to support more than trivial temporal information must be defined; finally, temporal logic systems exposing practical functionality are much demanded. Documents in the legal domain are rich in temporal expressions, often linked to a norm. Permissions, obligations and prohibitions are often bounded by temporal constraints. While there exist different rules and policy languages capable of representing temporal constraints to some extent, they are far from being able to express the complex temporal relations present in these legal texts. Reaching a formalized expression of temporal rules able to accommodate the findings of the NLP algorithms and enabling temporal reasoning in an integrated manner would unleash new possibilities in the area of legal reasoning. As this thesis is still in an early phase, Doctoral Consortium feedback will be extremely valuable for topic delimitation and additional research lines.

Funding Projects

TypeCodeAcronymLeaderTitle
Madrid Regional GovernmentPEJ16/TIC/AI-1984UnspecifiedUniversidad Politécnica de MadridUnspecified
Government of SpainIDI- 20141259LPS-BIGGERUnspecifiedLPS-BIGGER: Línea de Productos Software para BIG data a partir de aplicaciones innovadoras en Entornos Reales

More information

Item ID: 50325
DC Identifier: http://oa.upm.es/50325/
OAI Identifier: oai:oa.upm.es:50325
Official URL: http://ceur-ws.org/Vol-1875/paper2.pdf
Deposited by: Memoria Investigacion
Deposited on: 04 Jun 2019 09:25
Last Modified: 04 Jun 2019 09:25
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