Temporal evaluation

  • Authors:
  • Naushad UzZaman;James F. Allen

  • Affiliations:
  • University of Rochester, Rochester, NY;University of Rochester, Rochester, NY

  • Venue:
  • HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
  • Year:
  • 2011

Quantified Score

Hi-index 0.01

Visualization

Abstract

In this paper we propose a new method for evaluating systems that extract temporal information from text. It uses temporal closure to reward relations that are equivalent but distinct. Our metric measures the overall performance of systems with a single score, making comparison between different systems straightforward. Our approach is easy to implement, intuitive, accurate, scalable and computationally inexpensive.