Dan Garrette
Dan Garrette
Research Scientist, Google DeepMind
Verified email at - Homepage
Cited by
Cited by
How multilingual is Multilingual BERT?
T Pires, E Schlinger, D Garrette
Proceedings of ACL, 2019
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, R Castagné, ...
arXiv preprint arXiv:2211.05100, 2022
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages
JH Clark, E Choi, M Collins, D Garrette, T Kwiatkowski, V Nikolaev, ...
Transactions of the Association for Computational Linguistics 8, 454-470, 2020
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation
JH Clark, D Garrette, I Turc, J Wieting
Transactions of the Association for Computational Linguistics 10, 73-91, 2022
Learning a Part-of-Speech Tagger from Two Hours of Annotation
D Garrette, J Baldridge
Proceedings of NAACL, 2013
Scaling up models and data with t5x and seqio
A Roberts, HW Chung, G Mishra, A Levskaya, J Bradbury, D Andor, ...
Journal of Machine Learning Research 24 (377), 1-8, 2023
XTREME-R: Towards more challenging and nuanced multilingual evaluation
S Ruder, N Constant, J Botha, A Siddhant, O Firat, J Fu, P Liu, J Hu, ...
EMNLP, 2021
Montague Meets Markov: Deep Semantics with Probabilistic Logical Form
I Beltagy, C Chau, G Boleda, D Garrette, K Erk, R Mooney
Proceedings of *SEM, 2013
Integrating logical representations with probabilistic information using Markov logic
D Garrette, K Erk, R Mooney
Proceedings of the International Conference on Computational Semantics, 2011
Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages
D Garrette, J Mielens, J Baldridge
Proceedings of ACL, 2013
Frequency effects on syntactic rule learning in transformers
J Wei, D Garrette, T Linzen, E Pavlick
arXiv preprint arXiv:2109.07020, 2021
Improving Multilingual Models with Language-Clustered Vocabularies
HW Chung, D Garrette, KC Tan, J Riesa
Proceedings of EMNLP, 2020
Character-aware models improve visual text rendering
R Liu, D Garrette, C Saharia, W Chan, A Roberts, S Narang, I Blok, ...
arXiv preprint arXiv:2212.10562, 2022
A formal approach to linking logical form and vector-space lexical semantics
D Garrette, K Erk, R Mooney
Computing Meaning 4, 2013
Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries
D Garrette, J Baldridge
Proceedings of EMNLP, 2012
Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification
K Ball, D Garrette
Proceedings of EMNLP, 2018
An extensible toolkit for computational semantics
D Garrette, E Klein
Proceedings of the International Conference on Computational Semantics, 2009
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