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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; Saphra, Naomi; , Martijn; Balazs Scheidler; Beka, Amit. - : Zenodo, 2016 Abstract: PyNLPl, pronounced as 'pineapple', is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model. There are also more complex data types and algorithms. Moreover, there are parsers for file formats common in NLP (e.g. FoLiA/Giza/Moses/ARPA/Timbl/CQL). There are also clients to interface with various NLP specific servers. PyNLPl most notably features a very extensive library for working with FoLiA XML (Format for Linguistic Annotation). ... URL: http://zenodo.org/record/45871 https://dx.doi.org/10.5281/zenodo.45871 BASE Hide details 10 A framework for (under)specifying dependency syntax without overloading annotators ... Schneider, Nathan; O'Connor, Brendan; Saphra, Naomi. - : arXiv, 2013 BASE Show details

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