no code implementations • 1 Nov 2022 • Daniel Gilo, Shaul Markovitch
Most current algorithms for generating such examples in the textual domain are based on generative language models.
1 code implementation • 22 Aug 2022 • Adi Simhi, Shaul Markovitch
Understanding the embedding space is crucial for several important needs, including the need to debug the embedding method and compare it to alternatives, and the need to detect biases hidden in the model.
no code implementations • 6 Jun 2020 • Michal Badian, Shaul Markovitch
We assume that, in addition to the training set, we have access to additional datasets.
1 code implementation • ACL 2020 • Guy Kushilevitz, Shaul Markovitch, Yoav Goldberg
We tackle the task of Term Set Expansion (TSE): given a small seed set of example terms from a semantic class, finding more members of that class.
2 code implementations • 11 May 2018 • Jonathan Zarecki, Shaul Markovitch
It uses a small amount of labeled data as the core set for the synthesis of useful membership queries (MQs) - unlabeled instances generated by an algorithm for human labeling.
no code implementations • 12 Feb 2018 • Sarai Duek, Shaul Markovitch
Our method generates, for each training document, a set of language-independent features.
no code implementations • 31 Jan 2018 • Lior Friedman, Shaul Markovitch
With the increasing availability of well-formed collaborative knowledge bases, the performance of learning algorithms could be significantly enhanced if a way were found to exploit these knowledge bases.
1 code implementation • CONLL 2017 • Yotam Eshel, Noam Cohen, Kira Radinsky, Shaul Markovitch, Ikuya Yamada, Omer Levy
We address the task of Named Entity Disambiguation (NED) for noisy text.
no code implementations • NeurIPS 2014 • Assaf Glazer, Omer Weissbrod, Michael Lindenbaum, Shaul Markovitch
The goal of hierarchical clustering is to construct a cluster tree, which can be viewed as the modal structure of a density.
no code implementations • 4 Feb 2014 • Kira Radinsky, Sagie Davidovich, Shaul Markovitch
Our Pundit algorithm generalizes examples of causality pairs to infer a causality predictor.
no code implementations • 23 Jan 2014 • Carmel Domshlak, Erez Karpas, Shaul Markovitch
A description of a planning task consists of an initial world state, a goal, and a set of actions for modifying the world state.
no code implementations • 15 Jan 2014 • Evgeniy Gabrilovich, Shaul Markovitch
We evaluate the effectiveness of our method on text categorization and on computing the degree of semantic relatedness between fragments of natural language text.
no code implementations • 15 Jan 2014 • Saher Esmeir, Shaul Markovitch
ACT is an anytime algorithm that allows learning time to be increased in return for lower classification costs.
no code implementations • NeurIPS 2013 • Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
In this paper we introduce a novel method that can efficiently estimate a family of hierarchical dense sets in high-dimensional distributions.
no code implementations • NeurIPS 2012 • Assaf Glazer, Michael Lindenbaum, Shaul Markovitch
We propose an efficient, generalized, nonparametric, statistical Kolmogorov-Smirnov test for detecting distributional change in high-dimensional data.