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Tomer Wolfson

PhD student at The Blavatnik School of Computer Science, Tel Aviv University.

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Publications
Teaching

About

I am a PhD student at the Blavatnik School of Computer Science of Tel Aviv University. My PhD advisors are Prof. Daniel Deutch and Prof. Jonathan Berant. I am also serving as a research intern at the Allen Institute for AI.

My area of research lies at the intersection of Data Management and Natural Language Processing. I am interested in developing algorithms that are capable of understanding complex questions over a multitude of domains, and to endow them with an ability to justify and explain their results.

Prior to my PhD, I received my B.Sc and M.Sc in computer science at Tel Aviv University, under the supervision of Prof. Daniel Deutch.


Publications

Obtaining Faithful Interpretations from Compositional Neural Networks.
Sanjay Subramanian*, Ben Bogin*, Nitish Gupta*, Tomer Wolfson, Sameer Singh, Jonathan Berant and Matt Gardner.
Association for Computational Linguistics (ACL) 2020.


Break It Down: A Question Understanding Benchmark.
Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch and Jonathan Berant.
Volume 8 of the Transactions of the Association for Computational Linguistics (TACL) 2020, pages 183-198.


Explaining Queries over Web Tables to Non-Experts.
Jonathan Berant, Daniel Deutch, Amir Globerson, Tova Milo and Tomer Wolfson*.
IEEE 35th International Conference on Data Engineering (ICDE) 2019, pages 1570-1573.


Teaching

Tel Aviv University.
Teaching Assistant (2018 - Present).
Teaching recitations of the “Web Data Management” course under Prof. Daniel Deutch. Developed slides and projects on natural language processing, information extraction and ontology building.