Populating a knowledge base from a dictionary

  • Authors:
  • Martin Scaiano

  • Affiliations:
  • School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, Ontario, Canada

  • Venue:
  • Canadian AI'12 Proceedings of the 25th Canadian conference on Advances in Artificial Intelligence
  • Year:
  • 2012

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Abstract

Research applying logic and reasoning to natural language processing (NLP) requires large costly hand built knowledge resources. Time, effort, and the cost of producing these resources usually leads to limited coverage. There is a need to extract knowledge from textual knowledge resources, such as dictionaries, encyclopedias, and textbooks and then convert it into a format usable by reasoning NLP systems. My goal is to begin this task with extracting knowledge from dictionaries and demonstrating its utility in NLP tasks.