An Extensible Toolkit for Computational Semantics. - Dan Garrette; Ewan Klein (IWCS, 2009)

Integrating Logical Representations with Probabilistic Information using Markov Logic. - Dan Garrette; Katrin Erk; Raymond J. Mooney (IWCS, 2011)

Type-Supervised Hidden Markov Models for Part-of-Speech Tagging with Incomplete Tag Dictionaries. - Dan Garrette; Jason Baldridge (EMNLP-CoNLL, 2012)

Real-World Semi-Supervised Learning of POS-Taggers for Low-Resource Languages. - Dan Garrette; Jason Mielens; Jason Baldridge (ACL (1), 2013)

Learning a Part-of-Speech Tagger from Two Hours of Annotation. - Dan Garrette; Jason Baldridge (HLT-NAACL, 2013)

Montague Meets Markov: Deep Semantics with Probabilistic Logical Form. - Islam Beltagy; Cuong Chau; Gemma Boleda; Dan Garrette; Katrin Erk; Raymond J. Mooney (*SEM@NAACL-HLT, 2013)

Weakly-Supervised Bayesian Learning of a CCG Supertagger. - Dan Garrette; Chris Dyer; Jason Baldridge; Noah A. Smith (CoNLL, 2014)

Weakly-Supervised Grammar-Informed Bayesian CCG Parser Learning. - Dan Garrette; Chris Dyer; Jason Baldridge; Noah A. Smith (AAAI, 2015)

A Supertag-Context Model for Weakly-Supervised CCG Parser Learning. - Dan Garrette; Chris Dyer; Jason Baldridge; Noah A. Smith (CoNLL, 2015)

Unsupervised Code-Switching for Multilingual Historical Document Transcription. - Dan Garrette; Hannah Alpert-Abrams; Taylor Berg-Kirkpatrick; Dan Klein 001 (HLT-NAACL, 2015)

An Unsupervised Model of Orthographic Variation for Historical Document Transcription. - Dan Garrette; Hannah Alpert-Abrams (HLT-NAACL, 2016)

Automatic Compositor Attribution in the First Folio of Shakespeare. - Maria Ryskina; Hannah Alpert-Abrams; Dan Garrette; Taylor Berg-Kirkpatrick (ACL (2), 2017)

DyNet: The Dynamic Neural Network Toolkit. - Graham Neubig; Chris Dyer; Yoav Goldberg; Austin Matthews; Waleed Ammar; Antonios Anastasopoulos; Miguel Ballesteros; David Chiang 001; Daniel Clothiaux; Trevor Cohn; Kevin Duh; Manaal Faruqui; et al. (CoRR, 2017)

Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification. - Kelsey Ball; Dan Garrette (EMNLP, 2018)

How Multilingual is Multilingual BERT? - Telmo Pires; Eva Schlinger; Dan Garrette (ACL (1), 2019)

Improving Multilingual Models with Language-Clustered Vocabularies. - Hyung Won Chung; Dan Garrette; Kiat Chuan Tan; Jason Riesa (EMNLP (1), 2020)

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages. - Jonathan H. Clark; Jennimaria Palomaki; Vitaly Nikolaev; Eunsol Choi; Dan Garrette; Michael Collins 001; Tom Kwiatkowski (Trans. Assoc. Comput. Linguistics, 2020)

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. - Sebastian Ruder; Noah Constant; Jan A. Botha; Aditya Siddhant; Orhan Firat; Jinlan Fu; Pengfei Liu 003; Junjie Hu 001; Dan Garrette; Graham Neubig; Melvin Johnson (EMNLP (1), 2021)

Frequency Effects on Syntactic Rule Learning in Transformers. - Jason Wei; Dan Garrette; Tal Linzen; Ellie Pavlick (EMNLP (1), 2021)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Anselm Levskaya; Gaurav Mishra; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (CoRR, 2022)

Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (CoRR, 2022)

Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation. - Jonathan H. Clark; Dan Garrette; Iulia Turc; John Wieting (Trans. Assoc. Comput. Linguistics, 2022)

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 002; Noah Constant (ACL (1), 2023)

Dialect-robust Evaluation of Generated Text. - Jiao Sun; Thibault Sellam; Elizabeth Clark; Tu Vu; Timothy Dozat; Dan Garrette; Aditya Siddhant; Jacob Eisenstein; Sebastian Gehrmann (ACL (1), 2023)

How do languages influence each other? Studying cross-lingual data sharing during LM fine-tuning. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (EMNLP, 2023)

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages. - Sebastian Ruder; Jonathan H. Clark; Alexander Gutkin; Mihir Kale; Min Ma; Massimo Nicosia; Shruti Rijhwani; Parker Riley; Jean Michel A. Sarr; Xinyi Wang 001; John Wieting; Nitish Gupta; et al. (EMNLP (Findings), 2023)

Fine-tuning mSLAM for the SIGMORPHON 2022 Shared Task on Grapheme-to-Phoneme Conversion. - Dan Garrette (SIGMORPHON, 2023)

How do languages influence each other? Studying cross-lingual data sharing during LLM fine-tuning. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (CoRR, 2023)

The Impact of Depth and Width on Transformer Language Model Generalization. - Jackson Petty; Sjoerd van Steenkiste; Ishita Dasgupta 001; Fei Sha; Dan Garrette; Tal Linzen (CoRR, 2023)

Scaling Up Models and Data with t5x and seqio. - Adam Roberts; Hyung Won Chung; Gaurav Mishra; Anselm Levskaya; James Bradbury; Daniel Andor; Sharan Narang; Brian Lester; Colin Gaffney; Afroz Mohiuddin; Curtis Hawthorne; Aitor Lewkowycz; et al. (J. Mach. Learn. Res., 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; Noah Constant (Trans. Assoc. Comput. Linguistics, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Cross-Lingual Transfer with Language-Specific Subnetworks for Low-Resource Dependency Parsing. - Rochelle Choenni; Dan Garrette; Ekaterina Shutova (Comput. Linguistics, 2023)

Examining Modularity in Multilingual LMs via Language-Specialized Subnetworks. - Rochelle Choenni; Ekaterina Shutova; Dan Garrette (NAACL-HLT (Findings), 2024)

The Impact of Depth on Compositional Generalization in Transformer Language Models. - Jackson Petty; Sjoerd van Steenkiste; Ishita Dasgupta 001; Fei Sha; Dan Garrette; Tal Linzen (NAACL-HLT, 2024)