Yonatan Bisk – יונתן ביסק

About

Research

Github

CS Demographics

My research area is Natural Language Processing (NLP) with a focus on grounding. In particular, my work broadly falls into: 1. Uncovering the latent structures of natural language, 2. Modeling the semantics of the physical world, and 3. Connecting language to perception and control.
Fall 2020
Assistant Professor @ CMU
Language Technologies & Robotics Institutes
Currently
Microsoft Research in Redmond
Students
Hao Zhu (co-advised with Graham Neubig)
I am accepting students for Fall 2020 from both LTI and RI

ybisk  ¯\_(ツ)_/¯  cs.cmu.edu
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News/Events:




PDFs ↓
BibTex ↓
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar, Jesse Thomason, Daniel Gordon,
Yonatan Bisk
, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, Dieter Fox
PIQA: Reasoning about Physical Commonsense in Natural Language [Leaderboard] [DARPA]
Yonatan Bisk
, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi
Robust Navigation with Language Pretraining and Stochastic Sampling
Xiujun Li, Chunyuan Li, Qiaolin Xia,
Yonatan Bisk
, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi
Defending Against Neural Fake News [Demo] [Models]
Rowan Zellers, Ari Holtzman, Hannah Rashkin,
Yonatan Bisk
, Ali Farhadi, Franziska Roesner, Yejin Choi
FIND: Identifying Functionally and Structurally Important Features in Protein Sequences with Deep Neural Networks
Ranjani Murali, James Hemp, Victoria Orphan,
Yonatan Bisk

Improving Robot Success Detection using Static Object Data [Video]
Rosario Scalise, Jesse Thomason,
Yonatan Bisk
, Siddhartha Srinivasa
Early Fusion for Goal Directed Robotic Vision
Aaron Walsman,
Yonatan Bisk
, Saadia Gabriel, Dipendra Misra, Yoav Artzi, Yejin Choi, Dieter Fox
HellaSwag: Can a Machine Really Finish Your Sentence?
ACL

Rowan Zellers, Ari Holtzman,
Yonatan Bisk
, Ali Farhadi, Yejin Choi
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, Siddhartha Srinivasa
Prospection: Interpretable Plans From Language By Predicting the Future
Chris Paxton,
Yonatan Bisk
, Jesse Thomason, Arunkumar Byravan, Dieter Fox
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA
Jesse Thomason, Daniel Gordon,
Yonatan Bisk

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

Bridging HMMs and RNNs through Architectural Transformations
Jan Buys,
Yonatan Bisk
, Yejin Choi
Synthetic and Natural Noise Both Break Neural Machine Translation
Yonatan Belinkov,
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, Daniel Marcu
Natural Language Inference from Multiple Premises [Data] [Slides] [Talk]
Alice Lai,
Yonatan Bisk
, Julia Hockenmaier
Natural Language Communication with Robots
Yonatan Bisk
, Deniz Yuret, Daniel Marcu
Supertagging with LSTMs [Talk]
Ashish Vaswani,
Yonatan Bisk
, Kenji Sagae, Ryan Musa
Towards a Dataset for Human Computer Communication via Grounded Language Acquisition
Yonatan Bisk
, Daniel Marcu, William Wong
Unsupervised Neural Hidden Markov Models  [Slides]
Ke Tran,
Yonatan Bisk
, Ashish Vaswani, Daniel Marcu, Kevin Knight
Evaluating Induced CCG Parsers on Grounded Semantic Parsing
Yonatan Bisk
, Siva Reddy, John Blitzer, Julia Hockenmaier, Mark Steedman
Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction [Talk]
Yonatan Bisk
, Julia Hockenmaier
Labeled Grammar Induction with Minimal Supervision  [Poster]
Yonatan Bisk
, Christos Christodoulopoulos, Julia Hockenmaier
An HDP Model for Inducing Combinatory Categorial Grammars [Slides] [Talk]
Yonatan Bisk
, Julia Hockenmaier
Simple Robust Grammar Induction with Combinatory Categorial Grammar
Yonatan Bisk
, Julia Hockenmaier
Document-Topic Hierarchies from Document Graphs
Tim Weninger,
Yonatan Bisk
, Jiawei Han
Induction of Linguistic Structure with Combinatory Categorial Grammars
Yonatan Bisk
, Julia Hockenmaier
Normal-form parsing for CCGs with generalized composition and type-raising
Julia Hockenmaier,
Yonatan Bisk


Theses

2015
Unsupervised Grammar Induction with Combinatory Categorial Grammars
Advised by Julia Hockenmaier @ The University of Illinois at Urbana-Champaign
Committee: Jason Eisner, Dan Roth, Cheng Zhai

2009
The Necessity of Separating Control and Logic When Grounding Language using Neuroevolution
Undergraduate Thesis Advised by Risto Miikkulainen @ The University of Texas at Austin