The Turing Test for Automatic Text Summarization Evaluation
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.
Published
2015-12-30
How to Cite
Molina Villegas, A., & Torres-Moreno, J.-M. (2015). The Turing Test for Automatic Text Summarization Evaluation. Linguamática, 7(2), 45-55. Retrieved from https://linguamatica.com/index.php/linguamatica/article/view/V7N2.4
Issue
Section
Research Articles
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