51 citations · 147 across the 14 of their papers we have counts for
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cs.CL2017★ 2 cited
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple Datasets
Rotem Dror, Gili Baumer, Marina Bogomolov +1
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 orde…
stat.ME2017★ 16 cited
Testing hypotheses on a tree: new error rates and controlling strategies
Marina Bogomolov, Christine B. Peterson, Yoav Benjamini +1
We introduce a multiple testing procedure (TreeBH) which addresses the challenge of controlling error rates at multiple levels of resolution. Conceptually, we frame this problem as…