Appendix - Recommended Statistical Significance Tests for NLP Tasks
Computation and Language
2018-09-06 v1
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.
Cite
@article{arxiv.1809.01448,
title = {Appendix - Recommended Statistical Significance Tests for NLP Tasks},
author = {Rotem Dror and Roi Reichart},
journal= {arXiv preprint arXiv:1809.01448},
year = {2018}
}