Exploring the Utility of ResearchCyc for Reasoning from Natural Language

Abstract

This project investigated the potential for using ResearchCyc in natural language processing systems. The project focused particularly on natural language problems connected to sentence understanding, such as reading comprehension and robust textual inference. The project completed studies of the possibilities for using ResearchCyc knowledge for problems from this domain, it developed software for interaction between robust natural language processing systems and ResearchCyc, via its Java interface, and evaluated in a quantitative manner how much value could be gained from use of ResearchCyc and other alternative technologies by performing ablation studies.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2006
Accession Number
ADA451714

Entities

People

  • Andrew Ng
  • Christopher Manning

Organizations

  • Stanford University

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Ablation
  • Air Force
  • Air Force Research Laboratories
  • Comprehension
  • Data Analysis
  • Data Sets
  • Elections
  • Errors
  • European Union
  • Governments
  • Hippopotamus
  • Language
  • Natural Language Processing
  • Natural Languages
  • Reasoning
  • Translations

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Database Systems and Applications

Technology Areas

  • AI & ML
  • AI & ML - Machine Translation