Yonatan Bisk – יונתן ביסק

About

Research

Github

CS Demographics

[CV][Google Scholar]

Conferences / Journals

Learning Interpretable Spatial Operations in a Rich 3D Blocks World
AAAI

Yonatan Bisk, Kevin Shih, Yejin Choi and Daniel Marcu
[bib]

Natural Language Inference from Multiple Premises
IJCNLP

Alice Lai, Yonatan Bisk, and Julia Hockenmaier
[bib]

Evaluating Induced CCG Parsers on Grounded Semantic Parsing
EMNLP

Yonatan Bisk, Siva Reddy, John Blitzer, Julia Hockenmaier and Mark Steedman
[bib]

A dataset & evaluation for semantic parsing using induced grammars
Natural Language Communication with Robots
NAACL

Yonatan Bisk, Deniz Yuret, and Daniel Marcu
[Data] [Slides] [Video] [bib]

A dataset & models for isolating difficulties in language grounding
Supertagging with LSTMs
NAACL Short

Ashish Vaswani, Yonatan Bisk, Kenji Sagae, and Ryan Musa
[Video] [bib]

Supertagging performance and errors correlate with conditioning context
Probing the Linguistic Strengths and Limitations of Unsupervised Grammar Induction
Yonatan Bisk and Julia Hockenmaier
ACL

Unsupervised Labeled dependencies and Analysis
[Video] [bib]

Labeled Grammar Induction with Minimal Supervision
ACL Short

Yonatan Bisk, Christos Christodoulopoulos and Julia Hockenmaier
[Poster] [bib]

Induced clusters get you 70% of the performance you get from gold tags. (*Table 3 corrected)
An HDP Model for Inducing Combinatory Categorial Grammars
TACL Vol 1.

Yonatan Bisk and Julia Hockenmaier
[Slides] [Video] [bib]

Parameter Sharing is essential to unsupervised performance
Simple Robust Grammar Induction with Combinatory Categorial Grammar
Yonatan Bisk and Julia Hockenmaier
AAAI

A CCG Grammar can be automatically induced from nouns and verbs
[bib]

Document-Topic Hierarchies from Document Graphs
CIKM

Tim Weninger, Yonatan Bisk, and Jiawei Han
[bib]

Normal-form parsing for Combinatory Categorial Grammars with generalized composition and type-raising
Coling

Julia Hockenmaier and Yonatan Bisk
[bib]

Appropriately restricting Type-Raising and Composition greatly reduces ambiguity

Workshops

Unsupervised Neural Hidden Markov Models
EMNLP Structure Pred Wksp

Ke Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, and Kevin Knight
[Slides] [bib]

EM style training of unsupervised HMM with neural networks
Towards a Dataset for Human Computer Communication via Grounded Language Acquisition
AAAI Wksp on Symbolic Cognitive Systems

Yonatan Bisk, Daniel Marcu and William Wong
[bib]

Induction of Linguistic Structure with Combinatory Categorial Grammars
Yonatan Bisk and Julia Hockenmaier
NAACL Wksp on Inducing Linguistic Structure

[Corrected PASCAL Overview Paper] [Corrected Challenge Results]
[bib]

Theses

2015
Unsupervised Grammar Induction with Combinatory Categorial Grammars
Advised by Julia Hockenmaier
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


What is CCG?

Sadly there is no good intro to CCG that is geared at Computer Scientists that I'm aware of, but hopefully a coherent picture can be constructed without too much effort from the following links:
My Thesis: Chapter 3
Mark Steedman's CCG Page and NASSLI Tutorial or for the adventurous: The Syntactic Process