PhD Student of Computer Science

Bar-Ilan University

Biography

I am a second year Phd student in the Natural Language Processing Lab at Bar-Ilan University, under the supervision of Prof. Yoav Goldberg.
I also work as a research intern at AI2 Israel.

My interests lie between Natural Language Processing and Machine Learning.

I am also co-organizing an online NLP seminar: NLP with Friends, along with Abhilasha Ravichander, Liz Salesky and Zeerak Waseem. Join us!

News

Oct 2020: I shortly appeared on an Israeli radio show - Shlosha Sheyody’im (Three who knows) with Dudu Erez
Oct 2020: I’m a Google PhD Fellow
Jul 2020: Co-organizing a new online NLP seminar: NLP with Friends. Join us!
Jan 2020: Invited talk at DataHack Meetup
Nov 2019: Invited talk at IBM research, Israel
Sep 2019: Invited talk at ISCOL, Israel
May 2019: Invited talk at Citi Innovation lab, Israel
May 2019: Accepted paper to ACL19
May 2019: Accepted paper to TACL
Apr 2019: Invited talk at Inria Lab, Paris
Feb 2019: Invited talk at Textkernel, Amsterdam
Feb 2019: Visited UPenn (+talk)
Nov 2018: Started an internship at Google Research
Nov 2018: Presented our paper at University of Sheffield
Nov 2018: Presented our paper at Imperial College London
Nov 2018: Presented our paper at EMNLP
Aug 2018: Accepted (first!) paper to EMNLP

Publications

It’s not Greek to mBERT: Inducing Word-Level Translations from Multilingual BERT

Hila Gonen, Shauli Ravfogel, Yanai Elazar, Yoav Goldberg

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The Extraordinary Failure of Complement Coercion Crowdsourcing

Yanai Elazar, Victoria Basmov, Shauli Ravfogel, Yoav Goldberg, Reut Tsarfaty

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Do Language Embeddings Capture Scales?

Xikun Zhang, Deepak Ramachandran, Deepak Ramachandran, Yanai Elazar, Dan Roth

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Unsupervised Distillation of Syntactic Information from Contextualized Word Representations

*Shauli Ravfogel, *Yanai Elazar, Jacob Goldberger, Yoav Goldberg

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When Bert Forgets How To POS: Amnesic Probing of Linguistic Properties and MLM Predictions

Yanai Elazar, Shauli Ravfogel, Alon Jacovi, Yoav Goldberg

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Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection

Shauli Ravfogel, Yanai Elazar, Hila Gonen, Michael Twiton, Yoav Goldberg

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Evaluating nlp models via contrast sets

Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou

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oLMpics -- On what Language Model Pre-training Captures

Alon Talmor, Yanai Elazar, Yoav Goldberg, Jonathan Berant

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Adversarial Removal of Demographic Attributes Revisited

Maria Barrett, Yova Kementchedjhieva, Yanai Elazar, Desmond Elliott, Anders Søgaard

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How Large Are Lions? Inducing Distributions over Quantitative Attributes

Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth

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Where's My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution

Yanai Elazar, Yoav Goldberg

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Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations

Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom

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Adversarial Removal of Demographic Attributes from Text Data

Yanai Elazar, Yoav Goldberg

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Recent Posts

Attending ACL2020 (Remotely)

Tomorrow (July 5th, 2020) is the first day of ACL, and this year, as opposed to what we are used to, it will be held online. It is very unfortunate that we have to attend the conference on remote, however, it also allows more people to attend, which is a good thing! As such, some lab mates asked me about my strategy for attending this conference. Honestly, I don’t know. The organizers put a lot of effort into putting an impressive website, but the entire situation is quite overwhelming: the various types of “meetings”, the huge amount of papers (all of which are recorded, etc.

Yanai Elazar

Jul 5, 2020 3 min read

Remote Servers

For the past several years, I’ve been working on data-science/research projects, starting in the industry and a couple of undergraduate assignments and more recently by doing research as a graduate student. As someone who likes a convenient environment, I always like to improve the way I work and automate routine dull processes. In this first post of mine, I’ll describe how I make my environment more convenient to work with.

Yanai Elazar

Mar 14, 2019 9 min read guide