Dan Garrette

I am a Computer Science Ph.D. student at
The University of Texas at Austin. My research
focuses on Natural Language Processing and
Machine Learning.

I am currently working on using nonparametric
Bayesian techniques to learn CCG parsers
from diverse forms of weak supervision. This
work is in collaboration with Jason Baldridge,
Noah Smith, Chris Dyer, and James Scott.

Publications

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

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