Toward Automated International Law Compliance Monitoring (TAILCM)

Abstract

The IARPA seedling TAILCM (Toward Automated International Law Compliance Monitoring) was developed to explore the feasibility of translating regulatory text to formal executable rules that could input into a standard rule engine. This report presents the research performed during the year-long seedling. The four major research areas are expanding bulleted regulatory text, categorizing regulatory documents by discourse structure, ontology extraction and merging, and rule template slot filling.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2014
Accession Number
ADA608547

Entities

People

  • Leora Morgenstern

Organizations

  • Leidos

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Automated Text Summarization
  • Commerce
  • Computer Languages
  • Governments
  • International Law
  • Law
  • Man Borne Improvised Explosive Devices
  • Markup Languages
  • Natural Language Processing
  • Ontologies
  • Standards
  • Supervised Machine Learning
  • United States

Readers

  • Computational Linguistics
  • Environmental Remediation and Restoration.
  • Geospatial Intelligence and Artificial Intelligence Analytics