Naomi Saphra
TitleCited byYear
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
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
Understanding learning dynamics of language models with svcca
N Saphra, A Lopez
arXiv preprint arXiv:1811.00225, 2018
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
Sparsity Emerges Naturally in Neural Language Models
N Saphra, A Lopez
Do LSTMs Learn Compositionally?
N Saphra, A Lopez
Evaluating Informal-Domain Word Representations With UrbanDictionary
N Saphra, A Lopez
The First Workshop on Evaluating Vector Space Representations for NLP, 2016
AutomaticVerificationofBoundaryAnnotationsFrom MechanicalTurk
N Saphra, J Kannala, E Rahtu, M Blaschko
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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Articles 1–12