Jonathan Berant
Jonathan Berant works on natural-language understanding, including semantic parsing, question answering and textual entailment. Berant studied for his Tel Aviv doctorate from 2006 to 2012. His thesis studied global learning of textual-entailment graphs, with advisers Ido Dagan, Jacob Goldberger and Eytan Ruppin. He held a Stanford postdoctoral appointment from 2012 to 2015 with Percy Liang and Christopher Manning. He then held a postdoctoral appointment at Google in Mountain View from 2015 to 2016.
- Now at
- Tel Aviv University and Google
- Works
- 218
Publication numbers from OpenAlex, as of 14 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.
Timeline
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2006–2012
Learning textual entailment
Berant earned his Tel Aviv doctorate from 2006 to 2012. His thesis studied global learning of textual-entailment graphs, with advisers Ido Dagan, Jacob Goldberger and Eytan Ruppin.
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2012–2015
Stanford language research
He held a Stanford postdoctoral appointment from 2012 to 2015 with Percy Liang and Christopher Manning.
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2015–2016
Google postdoctoral research
He held a postdoctoral appointment at Google in Mountain View from 2015 to 2016.
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As of October 2026
Learning meaning from limited supervision
His research covers semantic parsing, question answering, paraphrasing and textual entailment. It also studies weak supervision, multi-step inference and compositionality.
Sources and credits
Photo: ellis.eu; Jonathan Berant profile photograph; creator not stated. License: Not stated by source. Source: ellis.eu. Cropped to a square and resized. Ask us to remove or replace this photo.