What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 |
SynJax: Structured Probability Distributions for JAXConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
Differentiable Clustering with Perturbed Spanning ForestsNeural Information Processing Systems (NeurIPS), 2023 |
The Architectural Bottleneck PrincipleConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
Unbiased and Efficient Sampling of Dependency TreesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 |
Measuring and Reducing Model Update Regression in Structured Prediction
for NLPNeural Information Processing Systems (NeurIPS), 2022 |
Higher-order Derivatives of Weighted Finite-state MachinesAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 |
Please Mind the Root: Decoding Arborescences for Dependency ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |