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An Unsupervised Model of Orthographic Variation for Historical Document Transcription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]
[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Unsupervised Code-Switching for Multilingual Historical Document Transcription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]
[slides.key]
[slides.pdf]
[poster]
Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
Dan Garrette,
Jason Mielens, and
Jason Baldridge
Proceedings of ACL 2013
[code]
[slides.key]
[slides.pdf]
[poster]
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
Teaching
Fall 2013 - Natural Language Processing (CS 378 / LIN 353N)
Other Writing
Reading the Primeros Libros: From Archive to OCR
Hannah Alpert-Abrams and
Dan Garrette
American Comparative Literature Association Conference, 2015
[slides.pdf]
Automatic Transcription in Colonial Contexts: OCR for the Primeros Libros
Hannah Alpert-Abrams and
Dan Garrette
Texas Digital Humanities Conference, 2015
Some thoughts on the relationship between computational linguistics and literary scholarship
Hannah Alpert-Abrams with
Dan Garrette
Language Log, Sept 12, 2013