The Illinois Intentional Tort Qualitative Dataset

Joseph Blass*, Kenneth Forbus

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

We introduce the Illinois Intentional Tort Qualitative Dataset, a set of Illinois Common Law cases in Assault, Battery, Trespass, and Self-Defense, machine-translated into qualitative predicate representations. We discuss the cases involved, the natural language understanding system used to translate the cases into predicate logic, and validation measures that serve as performance baselines for future AI research using the dataset.

Original languageEnglish (US)
Title of host publicationLegal Knowledge and Information Systems - JURIX 2022
Subtitle of host publicationThe 35th Annual Conference
EditorsEnrico Francesconi, Georg Borges, Christoph Sorge
PublisherIOS Press BV
Pages151-157
Number of pages7
ISBN (Electronic)9781643683645
DOIs
StatePublished - Dec 5 2022
Event35th International Conference on Legal Knowledge and Information Systems, JURIX 2022 - Saarbrucken, Germany
Duration: Dec 14 2022Dec 16 2022

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume362
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference35th International Conference on Legal Knowledge and Information Systems, JURIX 2022
Country/TerritoryGermany
CitySaarbrucken
Period12/14/2212/16/22

Keywords

  • Legal Corpus
  • Predicate Logic
  • Tort Law

ASJC Scopus subject areas

  • Artificial Intelligence

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