PhD in Computer Science and Linguistics
Tel Aviv University
Dissertation topic: Global Learning of Textual Entailment Graphs.
Jonathan is a PhD candidate at The School of Computer Science at Tel-Aviv University, working at Bar-Ilan University's Natural Language Processing lab. His research focuses on developing algorithms that automatically learn semantic relations between verbs and other predicates in natural language by modeling the task as a global graph optimization problem.
He is on the direct-track PhD program and will graduate in 2012. Following his graduation, he plans to start a post-doc in Computer Science.
A personal perspective:
In Jonathan's words: "Being an Azrieli Fellow has been a wonderful experience for me.I always thought of the Foundation as a second "academic home", where I can meet other young scientists and get to know disciplines that are drastically different than the one we pursue in our daily research. The kind and personal relations between Fellows and the Foundation's staff are unique and heart-warming".
• Jonathan Berant, Ido Dagan and Jacob Goldberger. 2012. Learning Entailment Relations by Global Graph Structure Optimization. The Journal of Computational Linguistics 38(1) pp. 73-111.
Chapters in Books:
• Catherine L. Caldwell-Harris, Jonathan Berant and Shimon Edelman Measuring Mental Entrenchment of Phrases with Perceptual Identification, Familiarity Ratings, and Corpus Frequency Statistics. To appear in S. T. Gries and D. Divjak, editors, Frequency effects in cognitive linguistics (Vol. 1): Statistical effects in learnability, processing and change, The Hague, The Netherlands: De Gruyter Mouton; 2011.
• Asher Stern, Amnon Lotan, Shachar Mirkin, Eyal Shnarch, Lili Kotlerman, Jonathan Berant and Ido Dagan. Knowledge and Tree-Edits in Learnable Entailment Proofs. Proceedings of the Fourth Text Analysis Conference ( TAC) ; 2012 November 14-5; Gaithersburg, Maryland. USA: National Institute of Standards and Technology; 2012.
• Hila Weisman, Jonathan Berant, Idan Szpektor and Ido Dagan. Learning Verb Inference Rules from Linguistically-Motivated Evidence. Proceedings of the Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-conll); 2012 July 12–14; Jeju. Korea.
• Jonathan Berant, Ido Dagan, Meni Adler and Jacob Goldberger. Efficient Tree-based Approximation for Entailment Graph Learning. Long paper in Proceedings of the 50th annual meeting of the Association for Computational Linguistics (ACL 2012); 2012 Jul 8-14; ICC JEJU; Jeju Island. Korea
• Naomi Zeichner, Jonathan Berant and Ido Dagan. Crowdsourcing Inference-Rule Evaluation Short. , Proceedings of the The 50th annual meeting of the Association for Computational Linguistics (ACL 2012); 2012 Jul 8-Jul 14; ICC JEJU; Jeju Island. Korea
• Meni Adler, Jonathan Berant and Ido Dagan. Entailment-based Text Exploration with Application to the Health-care Domain Demo. Proceedings of the The 50th annual meeting of the Association for Computational Linguistics (ACL 2012); 2012 Jul 8-Jul 14; ICC JEJU; Jeju Island. Korea
• Jonathan Berant, Ido Dagan and Jacob Goldberger. Global Learning of Typed Entailment Rules. Long paper in the proceedings of ACL 2011. Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies (Volume 1). 2011 June 19-24; Stroudsburg. Portland. Oregon. USA: Association for Computational Linguistics; 2011. P. 610-619 (Awarded as the best student paper)
• Shachar Mirkin, Jonathan Berant, Ido Dagan and Eyal Shnarch. Recognising Entailment within Discourse. Proceedings of COLING '10 the 23rd International Conference on Computational Linguistics; 2010 August 23-27; Beijing. China: Association for Computational Linguistics; 2010. P. 770-778.
• Jonathan Berant, Ido Dagan and Jacob Goldberger. Global Learning of Focused Entailment Graphs. Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics; 2010 July 11–16; Uppsala. Sweden: Association for Computational Linguistics; 2010. P. 1220-1229.
• Asher Stern, Eyal Shnarch, Amnon Lotan, Shachar Mirkin, Lili Kotlerman, Naomi Zeichner, Jonathan Berant and Ido Dagan. Rule Chaining and Approximate Match in Textual Inference. Proceedings of the Text Analysis Conference (RTE-6); 2010.
• Shachar Mirkin, Roy Bar-Haim, Jonathan Berant, Ido Dagan, Eyal Shnarch, Asher Stern and Idan Szpektor. Addressing Discourse and Document Structure in the RTE Search Task. Proceedings of the Second Text Analysis Conference (TAC); 2009 November 16-17; Gaithersburg. Maryland. USA: National Institute of Standards and Technology; 2009.
• Roy Bar-Haim, Jonathan Berant and Ido Dagan. A Compact Forest for Scalable Inference over Entailment and Paraphrase Rules. Proceedings of the conference on Empirical Methods in Natural Language Processing (EMNLP); 2009 August 6-7; Singapore; ACL and AFNLP; 2009. P. 1056-1065
• Roy Bar-Haim, Jonathan Berant, Ido Dagan, Iddo Greental, Shachar Mirkin, Eyal Shnarch and Idan Szpektor. Efficient Semantic Deduction and Approximate Matching over Compact Parse Forests. Proceedings of the Text Analysis Conference (TAC); 2008 November 17-19; Gaithersburg. Maryland. USA: National Institute of Standards and Technology.
• Jonathan Berant, Catherine Caldwell-Harris and Shimon Edelman Tracks in the Mind: Differential Entrenchment of Common and Rare Liturgical and Everyday Multiword Phrases in Religious and Secular Hebrew Speakers. Proceedings of 30th Annual Meeting of the Cognitive Science Society (CogSci); 2008 July 23-26; Washington DC. USA: P. 869-874.
• Jonathan Berant, Yaron Gross, Matan Mussel, Ben Sandbank, Eytan Ruppin and Shimon Edelman. Boosting Unsupervised Grammar Induction by Splitting Complex Sentences on Function Words. In: Heather Caunt-Nulton, Samantha Kulatilake, and I-hao Woo, editors. 2007. Proceedings of the 31st annual Boston University Conference on Language Development (BUCLD); 2006 November 3-5; Boston, MA. USA: Cascadilla Press; 2007. P. 93-104
As part of my volunteer activity, I was instructor of the course "Computer Science in the community" at Tel-Aviv University.
In this project I was in charge of 25 B.Sc students for Computer Science who taught computer science to children, ages 14-15, at seven schools in Bat-Yam, Kfar-Saba and more.
As an instructor I was responsible for choosing the volunteers, creating a syllabus, communicating with the schools, supervising the students, etc.
This activity involved working with many people, and was supervised by Dr. Lior Wolf and Prof. Dan Halperin from The School of Computer Science.