Dan Garrette

According to our database1, Dan Garrette authored at least 35 papers between 2009 and 2024.

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Bibliography

2024
The Impact of Depth on Compositional Generalization in Transformer Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023
Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing.
Comput. Linguistics, September, 2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.
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Trans. Mach. Learn. Res., 2023

FRMT: A Benchmark for Few-Shot Region-Aware Machine Translation.
Trans. Assoc. Comput. Linguistics, 2023

Scaling Up Models and Data with t5x and seqio.
J. Mach. Learn. Res., 2023

The Impact of Depth and Width on Transformer Language Model Generalization.
CoRR, 2023

How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning.
CoRR, 2023

Fine-tuning mSLAM for the SIGMORPHON 2022 Shared Task on Grapheme-to-Phoneme Conversion.
Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, 2023


How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Dialect-robust Evaluation of Generated Text.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Character-Aware Models Improve Visual Text Rendering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation.
Trans. Assoc. Comput. Linguistics, 2022

Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks.
CoRR, 2022

Scaling Up Models and Data with t5x and seqio.
CoRR, 2022

2021
Frequency Effects on Syntactic Rule Learning in Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages.
Trans. Assoc. Comput. Linguistics, 2020

Improving Multilingual Models with Language-Clustered Vocabularies.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
How Multilingual is Multilingual BERT?
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
DyNet: The Dynamic Neural Network Toolkit.
CoRR, 2017

Automatic Compositor Attribution in the First Folio of Shakespeare.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
An Unsupervised Model of Orthographic Variation for Historical Document Transcription.
Proceedings of the NAACL HLT 2016, 2016

2015
Unsupervised Code-Switching for Multilingual Historical Document Transcription.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

A Supertag-Context Model for Weakly-Supervised CCG Parser Learning.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Weakly-Supervised Bayesian Learning of a CCG Supertagger.
Proceedings of the Eighteenth Conference on Computational Natural Language Learning, 2014

2013
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form.
Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

Learning a Part-of-Speech Tagger from Two Hours of Annotation.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries.
Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011
Integrating Logical Representations with Probabilistic Information using Markov Logic.
Proceedings of the Ninth International Conference on Computational Semantics, 2011

2009
An Extensible Toolkit for Computational Semantics.
Proceedings of the Eight International Conference on Computational Semantics, 2009


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