380 citations · 487 across the 16 of their papers we have counts for
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cs.LG2018★ 4 cited
Textual Membership Queries
Jonathan Zarecki, Shaul Markovitch
Human labeling of data can be very time-consuming and expensive, yet, in many cases it is critical for the success of the learning process. In order to minimize human labeling effo…
cs.CL2018★ 3 cited
Automatic Generation of Language-Independent Features for Cross-Lingual Classification
Sarai Duek, Shaul Markovitch
Many applications require categorization of text documents using predefined categories. The main approach to performing text categorization is learning from labeled examples. For m…
cs.AI2018★ 4 cited
Recursive Feature Generation for Knowledge-based Learning
Lior Friedman, Shaul Markovitch
When humans perform inductive learning, they often enhance the process with background knowledge. With the increasing availability of well-formed collaborative knowledge bases, the…