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Using the Distribution of Performance for Studying Statistical NLP Systems and Corpora

Yuval Krymolowski
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Abstract

Statistical NLP systems are frequently evaluated and compared on the basis of their performances on a single split of training and test data. Results obtained using a single split are, however, subject to sampling noise. In this paper we argue in favour of reporting a distribution of performance figures, obtained by resampling the training data, rather than a single number. The additional information from distributions can be used to make statistically quantified statements about differences across parameter settings, systems, and corpora.

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Yuval Krymolowski. 2001-06-20. Using the Distribution of Performance for Studying Statistical NLP Systems and Corpora. https://arxiv.org/abs/cs/0106043

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