The Turing Test for Automatic Text Summarization Evaluation

Authors

  • Alejandro Molina Villegas Laboratoire Informatique d’Avignon - UAPV
  • Juan-Manuel Torres-Moreno Laboratoire Informatique d’Avignon - UAPV

Keywords:

evaluación de resumen automático, compresión de frases, test de Turing, crowdsourcing

Abstract

Currently there are several methods to produce summaries of text automatically, but the evaluation of these remains a challenging issue. In this paper, we study the quality assessment of automatically generated abstracts. We deal with one of the major drawbacks of automatic metrics, which do not take into account either the grammar or the validity of sentences. Our proposal is based on the Turing test, in which a human judges must identify the source of a series of summaries. We propose how statistically validate the judgements using the Fisher's exact test.

References

Published

2015-12-30

Issue

Section

Research Articles

How to Cite

The Turing Test for Automatic Text Summarization Evaluation. (2015). Linguamática, 7(2), 45-55. https://www.linguamatica.com/index.php/linguamatica/article/view/V7N2.4