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View article: The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing
The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing Open
Statistical significance testing is a standard statistical tool designed to ensure that experimental results are not coincidental. In this opinion/ theoretical paper we discuss the role of statistical significance testing in Natural Langua…
View article: Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets Open
With the ever growing amount of textual data from a large variety of languages, domains, and genres, it has become standard to evaluate NLP algorithms on multiple datasets in order to ensure a consistent performance across heterogeneous se…
View article: Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets Open
With the ever-growing amounts of textual data from a large variety of languages, domains, and genres, it has become standard to evaluate NLP algorithms on multiple datasets in order to ensure consistent performance across heterogeneous set…