Naomi Saphra

LSTMs Compose (and Learn) Bottom-Up

Oct 06, 2020
Naomi Saphra, Adam Lopez

* Published in EMNLP Findings 2020. arXiv admin note: substantial text overlap with arXiv:2004.13195

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Pareto Probing: Trading Off Accuracy for Complexity

Oct 05, 2020
Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell

* Tiago Pimentel and Naomi Saphra contributed equally to this work. Accepted for publication at EMNLP 2020. Code available in https://github.com/rycolab/pareto-probing

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* Published in the ICML 2019 Workshop on Identifying and Understanding Deep Learning Phenomena: https://openreview.net/forum?id=H1ets1h56E

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Understanding Learning Dynamics Of Language Models with SVCCA

Nov 01, 2018
Naomi Saphra, Adam Lopez

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DyNet: The Dynamic Neural Network Toolkit

Jan 15, 2017
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin

* 33 pages

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Evaluating Informal-Domain Word Representations With UrbanDictionary

Jun 27, 2016
Naomi Saphra, Adam Lopez

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A framework for (under)specifying dependency syntax without overloading annotators

Jun 15, 2013
Nathan Schneider, Brendan O'Connor, Naomi Saphra, David Bamman, Manaal Faruqui, Noah A. Smith, Chris Dyer, Jason Baldridge

* 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

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