I am currently a Postdoctoral Researcher in

Computer Science at the University of Washington

where I work with
Luke Zettlemoyer.
My research

focuses on
Natural Language Processing and

Machine Learning.

I completed my Ph.D. in Computer Science at

The University of Texas at Austin in Spring 2015.

Publications

Low-Resource Machine Learning for NLP

An Unsupervised Model of Orthographic Variation for Historical Document Transcription

Dan Garrette and
Hannah Alpert-Abrams

Proceedings of NAACL 2016
[code]
[data]
[poster]
[slides.key]
[slides.pdf]
[talk video]

A Supertag-Context Model for Weakly-Supervised CCG Parser Learning

Dan Garrette,
Chris Dyer,
Jason Baldridge, and
Noah A. Smith

Proceedings of CoNLL 2015
[code]
[slides.key]
[slides.pdf]
[talk video]

Unsupervised Code-Switching for Multilingual Historical Document Transcription

Dan Garrette,
Hannah Alpert-Abrams,
Taylor Berg-Kirkpatrick, and
Dan Klein

Proceedings of NAACL 2015
[code]
[data]
[slides.key]
[slides.pdf]
[talk video]

Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning

Dan Garrette,
Chris Dyer,
Jason Baldridge, and
Noah A. Smith

Proceedings of AAAI 2015
[code]
[slides.key]
[slides.pdf]

Weakly-Supervised Bayesian Learning of a CCG Supertagger

Dan Garrette,
Chris Dyer,
Jason Baldridge, and
Noah A. Smith

Proceedings of CoNLL 2014
[code]
[poster]
[slides.key]
[slides.pdf]

Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages

Dan Garrette,
Jason Mielens, and
Jason Baldridge

Proceedings of ACL 2013
[code]
[poster]
[slides.key]
[slides.pdf]

Learning a Part-of-Speech Tagger from Two Hours of Annotation

Dan Garrette and
Jason Baldridge

Proceedings of NAACL 2013
[code]
[slides.key]
[slides.pdf]
[talk video]
[commentary]
[commentary]

*Best Talk Award Finalist

*Commentary*

Hal Daume - My NAACL 2013 list...

Daniel Marcu - NLP Trends - NAACL 2013

Type-Supervised Hidden Markov Models for POS Tagging with Incomplete Tag Dictionaries

Dan Garrette and
Jason Baldridge

Proceedings of EMNLP 2012
[code]

Computational Semantics

A Formal Approach to Linking Logical Form and Vector-Space Lexical Semantics

Dan Garrette,
Katrin Erk, and
Raymond Mooney

In: Harry Bunt, Johan Bos, and Stephen Pulman (eds) Computing Meaning, Vol. 4, 2013

Montague Meets Markov: Deep Semantics with Probabilistic Logical Form

Islam Beltagy, Cuong Chau,
Gemma Boleda,
Dan Garrette,
Katrin Erk, and
Raymond Mooney

Proceedings of *SEM 2013

Integrating Logical Representations with Probabilistic Information using Markov Logic

Dan Garrette,
Katrin Erk, and
Raymond Mooney

Proceedings of the Ninth International Conference on Computational Semantics, 2011

An Extensible Toolkit for Computational Semantics

Dan Garrette and
Ewan Klein

Proceedings of the Eighth International Conference on Computational Semantics, 2009

Design by Kristin Serna