1 code implementation • Findings (ACL) 2022 • Rina Galperin, Shachar Schnapp, Michael Elhadad
We study cross-lingual UMLS named entity linking, where mentions in a given source language are mapped to UMLS concepts, most of which are labeled in English.
no code implementations • 11 Oct 2021 • Haim Kaplan, Shachar Schnapp, Uri Stemmer
In this work we study the problem of differentially private (DP) quantiles, in which given dataset $X$ and quantiles $q_1, ..., q_m \in [0, 1]$, we want to output $m$ quantile estimations which are as close as possible to the true quantiles and preserve DP.
1 code implementation • 13 Dec 2020 • Shachar Schnapp, Sivan Sabato
We study active feature selection, a novel feature selection setting in which unlabeled data is available, but the budget for labels is limited, and the examples to label can be actively selected by the algorithm.