Naomi Saphra
Cited by
Cited by
Dynet: The dynamic neural network toolkit
G Neubig, C Dyer, Y Goldberg, A Matthews, W Ammar, A Anastasopoulos, ...
arXiv preprint arXiv:1701.03980, 2017
Understanding objects in detail with fine-grained attributes
A Vedaldi, S Mahendran, S Tsogkas, S Maji, R Girshick, J Kannala, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2014
An algerian arabic-french code-switched corpus
R Cotterell, A Renduchintala, N Saphra, C Callison-Burch
Workshop on Free/Open-Source Arabic Corpora and Corpora Processing Tools …, 2014
Understanding learning dynamics of language models with SVCCA
N Saphra, A Lopez
arXiv preprint arXiv:1811.00225, 2018
A framework for (under) specifying dependency syntax without overloading annotators
N Schneider, B O'Connor, N Saphra, D Bamman, M Faruqui, NA Smith, ...
arXiv preprint arXiv:1306.2091, 2013
Pareto probing: Trading off accuracy for complexity
T Pimentel, N Saphra, A Williams, R Cotterell
arXiv preprint arXiv:2010.02180, 2020
Understanding privacy-related questions on Stack Overflow
M Tahaei, K Vaniea, N Saphra
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020
Amrica: an amr inspector for cross-language alignments
N Saphra, A Lopez
Proceedings of the 2015 conference of the north american chapter of the …, 2015
Language models learn pos first
N Saphra, A Lopez
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and …, 2018
Lstms compose (and learn) bottom-up
N Saphra, A Lopez
arXiv preprint arXiv:2010.04650, 2020
The multiberts: Bert reproductions for robustness analysis
T Sellam, S Yadlowsky, J Wei, N Saphra, A D'Amour, T Linzen, J Bastings, ...
arXiv preprint arXiv:2106.16163, 2021
Evaluating Informal-Domain Word Representations With UrbanDictionary
N Saphra, A Lopez
The First Workshop on Evaluating Vector Space Representations for NLP, 2016
A Non-Linear Structural Probe
JC White, T Pimentel, N Saphra, R Cotterell
arXiv preprint arXiv:2105.10185, 2021
Word interdependence exposes how lstms compose representations
N Saphra, A Lopez
arXiv preprint arXiv:2004.13195, 2020
Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)
A Rogers, I Calixto, I Vulić, N Saphra, N Kassner, OM Camburu, T Bansal, ...
Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP …, 2021
Training dynamics of neural language models
N Saphra
The University of Edinburgh, 2021
How to Evaluate Word Representations of Informal Domain?
Y Chai, N Saphra, A Lopez
arXiv preprint arXiv:1911.04669, 2019
Sparsity Emerges Naturally in Neural Language Models
N Saphra, A Lopez
arXiv preprint arXiv:1908.01817, 2019
Do LSTMs Learn Compositionally?
N Saphra, A Lopez
Towards a detailed understanding of objects and scenes in natural images
M Blaschko, RB Girshick, J Kannala, I Kokkinos, S Mahendran, S Maji, ...
Center for Language and Speech Processing, Johns Hopkins University, 2012
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