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Appendix - Recommended Statistical Significance Tests for NLP Tasks
September 05, 2018 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Rotem Dror, Roi Reichart
arXiv ID
1809.01448
Category
cs.CL: Computation & Language
Citations
4
Venue
arXiv.org
Last Checked
5 months ago
Abstract
Statistical significance testing plays an important role when drawing conclusions from experimental results in NLP papers. Particularly, it is a valuable tool when one would like to establish the superiority of one algorithm over another. This appendix complements the guide for testing statistical significance in NLP presented in \cite{dror2018hitchhiker} by proposing valid statistical tests for the common tasks and evaluation measures in the field.
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