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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 10 of 10 1 Training dynamics of neural language models ... Saphra, Naomi. - : The University of Edinburgh, 2021 BASE Show details 2 A Non-Linear Structural Probe Pimentel, Tiago; Cotterell, Ryan; Saphra, Naomi... In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (2021) BASE Show details 3 A Non-Linear Structural Probe ... White, Jennifer C.; Pimentel, Tiago; Saphra, Naomi. - : ETH Zurich, 2021 BASE Show details 4 Training dynamics of neural language models Saphra, Naomi. - : The University of Edinburgh, 2021 BASE Show details 5 Pareto Probing: Trading Off Accuracy for Complexity Saphra, Naomi; Cotterell, Ryan; Pimentel, Tiago... In: Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (2020) BASE Show details 6 Pareto Probing: Trading Off Accuracy for Complexity ... Pimentel, Tiago; Saphra, Naomi; Williams, Adina. - : arXiv, 2020 BASE Show details 7 Understanding Learning Dynamics Of Language Models with SVCCA ... Saphra, Naomi; Lopez, Adam. - : arXiv, 2018 BASE Show details 8 Pynlpl: V0.7.7.1 ... Gompel, Maarten Van; Sloot, Ko Van Der; Fischer, Stefan. - : Zenodo, 2016 BASE Show details 9 Pynlpl: V0.7.7 ... Gompel, Maarten Van; Sloot, Ko Van Der; Fischer, Stefan. - : Zenodo, 2016 BASE Show details 10 A framework for (under)specifying dependency syntax without overloading annotators ... Schneider, Nathan; O'Connor, Brendan; Saphra, Naomi; Bamman, David; Faruqui, Manaal; Smith, Noah A.; Dyer, Chris; Baldridge, Jason. - : arXiv, 2013 Abstract: We introduce a framework for lightweight dependency syntax annotation. Our formalism builds upon the typical representation for unlabeled dependencies, permitting a simple notation and annotation workflow. Moreover, the formalism encourages annotators to underspecify parts of the syntax if doing so would streamline the annotation process. We demonstrate the efficacy of this annotation on three languages and develop algorithms to evaluate and compare underspecified annotations. ... : This is an expanded version of a paper appearing in Proceedings of the 7th Linguistic Annotation Workshop & Interoperability with Discourse, Sofia, Bulgaria, August 8-9, 2013 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1306.2091 https://dx.doi.org/10.48550/arxiv.1306.2091 BASE Hide details

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