Natural language instruction for analogical reasoning: An initial report

Joseph A. Blass, Kenneth D Forbus

Research output: Contribution to journalConference article

2 Scopus citations

Abstract

A challenge for any case-based reasoning system is how to acquire the cases with which to reason. Here we explore acquiring cases via natural language instruction by a person. We show how, using microstories (1-3 sentence stories) expressed in simplified English syntax, small cases - called common sense units - can be incrementally added to improve analogical reasoning performance.

Original languageEnglish (US)
Pages (from-to)21-30
Number of pages10
JournalCEUR Workshop Proceedings
Volume1815
StatePublished - Jan 1 2016
Event24th International Conference on Case-Based Reasoning Workshops, ICCBR-WS 2016 - Atlanta, United States
Duration: Oct 31 2016Nov 2 2016

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Keywords

  • Analogy
  • Commonsense
  • Instruction
  • Language understanding

ASJC Scopus subject areas

  • Computer Science(all)

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