Dan Garrette

I am a Research Scientist at Google DeepMind
in New York. 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 2015 and
was later a postdoc in Computer Science at
the University of Washington
.

Dan Garrette

Selected Publications

How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning

Rochelle Choenni, Dan Garrette, and Ekaterina Shutova
EMNLP 2023  

Character-Aware Models Improve Visual Text Rendering

Rosanne Liu*, Dan Garrette*, Chitwan Saharia, William Chan, Adam Roberts, Sharan Narang, Irina Blok, RJ Mical, Mohammad Norouzi, and Noah Constant*
ACL 2023   [slides] [poster]

Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing

Rochelle Choenni, Dan Garrette, and Ekaterina Shutova
Computational Linguistics, 2023  

FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation

Parker Riley, Timothy Dozat, Jan A. Botha, Xavier Garcia, Dan Garrette, Jason Riesa, Orhan Firat, and Noah Constant
TACL 2023  

CANINE: Pre-training an Efficient Tokenization-Free Encoder for Language Representation

Jonathan H. Clark, Dan Garrette, Iulia Turc, and John Wieting
TACL 2022   [slides] [poster]

Frequency Effects on Syntactic Rule Learning in Transformers

Jason Wei, Dan Garrette, Tal Linzen, and Ellie Pavlick
EMNLP 2021   [blog]

Improving Multilingual Models with Language-Clustered Vocabularies

Hyung Won Chung, Dan Garrette, Kiat Chuan Tan, and Jason Riesa
EMNLP 2020  

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Jonathan H. Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev,
and Jennimaria Palomaki
TACL 2020   [blog]

How multilingual is Multilingual BERT?

Telmo Pires, Eva Schlinger, and Dan Garrette
ACL 2019   [slides.pdf]

Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification

Kelsey Ball and Dan Garrette
EMNLP 2018   [code] [poster]

Automatic Compositor Attribution in the First Folio of Shakespeare

Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, and Taylor Berg-Kirkpatrick
ACL 2017   [poster]

An Unsupervised Model of Orthographic Variation for Historical Document Transcription

Dan Garrette and Hannah Alpert-Abrams
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
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
NAACL 2015   [code] [data] [slides.key] [slides.pdf]

Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning

Dan Garrette, Chris Dyer, Jason Baldridge, and Noah A. Smith
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
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
ACL 2013   [code] [poster] [slides.key] [slides.pdf]

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

Dan Garrette and Jason Baldridge
NAACL 2013   [code] [slides.key] [slides.pdf] [talk video] [commentary]
*Best Talk Award Finalist

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
*SEM 2013

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

Dan Garrette and Jason Baldridge
EMNLP 2012   [code]

Integrating Logical Representations with Probabilistic Information using Markov Logic

Dan Garrette, Katrin Erk, and Raymond Mooney
International Conference on Computational Semantics, 2011

An Extensible Toolkit for Computational Semantics

Dan Garrette and Ewan Klein
International Conference on Computational Semantics, 2009

Design by Kristin Serna