A rule-based question answering system for reading comprehension tests

  • Authors:
  • Ellen Riloff;Michael Thelen

  • Affiliations:
  • University of Utah, Salt Lake City, Utah;University of Utah, Salt Lake City, Utah

  • Venue:
  • ANLP/NAACL-ReadingComp '00 Proceedings of the 2000 ANLP/NAACL Workshop on Reading comprehension tests as evaluation for computer-based language understanding sytems - Volume 6
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

We have developed a rule-based system, Quarc, that can read a short story and find the sentence in the story that best answers a given question. Quarc uses heuristic rules that look for lexical and semantic clues in the question and the story. We have tested Quarc on reading comprehension tests typically given to children in grades 3--6. Overall, Quarc found the correct sentence 40% of the time, which is encouraging given the simplicity of its rules.