Developing an intelligent tutoring system using natural language for knowledge representation

Sung Young Jung, Kurt VanLehn

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

5 Scopus citations

Abstract

Authoring the domain knowledge of an intelligent tutoring system (ITS) is a well-known problem, and an often-mentioned approach is to use authors who are domain experts. Unfortunately, this approach requires that potential authors learn to write and debug knowledge written in a formal knowledge representation language. If authors were able to use natural language to represent knowledge it would allow them to add and update knowledge far more easily. In this paper, the design of such an authoring system, 'Natural-K' is presented. Natural-K is an authoring system in which domain authors including non-programmers are able to add problem statements and background knowledge such as commonsense, in natural language.

Original languageEnglish (US)
Title of host publicationIntelligent Tutoring Systems - 10th International Conference, ITS 2010, Proceedings
Pages355-358
Number of pages4
EditionPART 2
DOIs
StatePublished - 2010
Event10th International Conference on Intelligent Tutoring Systems, ITS 2010 - Pittsburgh, PA, United States
Duration: Jun 14 2010Jun 18 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6095 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other10th International Conference on Intelligent Tutoring Systems, ITS 2010
Country/TerritoryUnited States
CityPittsburgh, PA
Period6/14/106/18/10

Keywords

  • Authoring System for ITS
  • Knowledge acquisition
  • Knowledge representation using natural language
  • Natural language understanding

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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