Yonatan Bisk – יונתן ביסק




CS Demographics

2015 – ...
Postdoc @ ISI           → UW & AI2
Advisor: Daniel MarcuYejin Choi
2009 – 2015
PhD Student in Computer Science,
The University of Illinois at Urbana-Champaign
Advisor:       Julia Hockenmaier
Committee: Jason Eisner, Dan Roth, Cheng Zhai
2013 & 2014
Research Intern @Google with John Blitzer
BS in Computer Science
The University of Texas at Austin

ybisk ¯\_(ツ)_/¯ yonatanbisk.com



My research area is Natural Language Processing (NLP) with a focus on grounding. My agenda focuses on
     1. Uncovering the latent structures of natural language,
     2. Modeling the semantics of the physical world, and
     3. Connecting language to perception and control.

Job market: I'm currently on the job market, happy to share statements and work under review.   [CV]  [GScholar]

PDFs ↓
BibTex ↓
Preprint  Improving Robot Success Detection using Static Object Data    [Video]
Rosario Scalise, Jesse Thomason,
Yonatan Bisk
and Siddhartha Srinivasa
  FIND: Identifying Functionally and Structurally Important Features in Protein Sequences with Deep Neural Networks
Ranjani Murali, James Hemp, Victoria Orphan, and
Yonatan Bisk

Early Fusion for Goal Directed Robotic Vision
Aaron Walsman,
Yonatan Bisk
, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox
2019 From Recognition to Cognition: Visual Commonsense Reasoning
Rowan Zellers,
Yonatan Bisk
, Ali Farhadi, Yejin Choi
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation [video]
Liyiming Ke, Xiujun Li,
Yonatan Bisk
, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi and Siddhartha Srinivasa
Prospection: Interpretable Plans From Language By Predicting the Future
Chris Paxton,
Yonatan Bisk
, Jesse Thomason, Arunkumar Byravan and Dieter Fox
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA
Jesse Thomason, Daniel Gordon, and
Yonatan Bisk

Benchmarking Hierarchical Script Knowledge
Yonatan Bisk
, Jan Buys, Karl Pichotta and Yejin Choi
  Character-based Surprisal as a Model of Human Reading in the Presence of Errors
Michael Hahn, Frank Keller,
Yonatan Bisk
, Yonatan Belinkov
2018 SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference   [Video]
Rowan Zellers,
Yonatan Bisk
, Roy Schwartz and Yejin Choi
Inducing Grammars with and for Neural Machine Translation
Ke Tran and
Yonatan Bisk

Bridging HMMs and RNNs through Architectural Transformations
Jan Buys,
Yonatan Bisk
, and Yejin Choi
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov* and
Yonatan Bisk*

CHALET: Cornell House Agent Learning Environment
Claudia Yan, Dipendra Misra, Andrew Bennnett, Aaron Walsman,
Yonatan Bisk
& Yoav Artzi
Learning Interpretable Spatial Operations in a Rich 3D Blocks World      [Poster]
Yonatan Bisk
, Kevin Shih, Yejin Choi and Daniel Marcu
2017 Natural Language Inference from Multiple Premises
Alice Lai,
Yonatan Bisk
, and Julia Hockenmaier
2016 Natural Language Communication with Robots      [Data] [Slides] [Video]
Yonatan Bisk
, Deniz Yuret, and Daniel Marcu
Supertagging with LSTMs      [Video]
Ashish Vaswani,
Yonatan Bisk
, Kenji Sagae, and Ryan Musa
Towards a Dataset for Human Computer Communication via Grounded Language Acquisition
Yonatan Bisk
, Daniel Marcu and William Wong
Unsupervised Neural Hidden Markov Models      [Slide]
Ke Tran,
Yonatan Bisk
, Ashish Vaswani, Daniel Marcu, and Kevin Knight
Evaluating Induced CCG Parsers on Grounded Semantic Parsing
Yonatan Bisk
, Siva Reddy, John Blitzer, Julia Hockenmaier and Mark Steedman
2015 Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction [Video]
Yonatan Bisk
and Julia Hockenmaier
Labeled Grammar Induction with Minimal Supervision      [Poster]
Yonatan Bisk
, Christos Christodoulopoulos and Julia Hockenmaier
2013 An HDP Model for Inducing Combinatory Categorial Grammars    [Slides] [Video]
Yonatan Bisk
and Julia Hockenmaier
2012 Simple Robust Grammar Induction with Combinatory Categorial Grammar
Yonatan Bisk
and Julia Hockenmaier
Document-Topic Hierarchies from Document Graphs
Tim Weninger,
Yonatan Bisk
, and Jiawei Han
Induction of Linguistic Structure with Combinatory Categorial Grammars
Yonatan Bisk
and Julia Hockenmaier        [PASCAL Paper] [Challenge Results]
2010 Normal-form parsing for CCGs with generalized composition and type-raising
Julia Hockenmaier and
Yonatan Bisk


Unsupervised Grammar Induction with Combinatory Categorial Grammars
Advised by Julia Hockenmaier
Committee: Jason Eisner, Dan Roth, Cheng Zhai
The Necessity of Separating Control and Logic When Grounding Language using Neuroevolution
Undergraduate Thesis Advised by Risto Miikkulainen