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One of the challenges in the NLP field is training large classification models, a task that is both difficult and tedious.
“cloze procedure”: A new tool for measuring readability
Wilson L Taylor. 1953 · 1953
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No silver bullet
F Brooks and HJ Kugler. 1987 · 1987
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The corpus of contemporary american english: 450 million words, 1990-present. available online at http://corpus.byu.edu/coca/
Davies Mark. 2008 · 1990
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On structuring probabilistic dependences in stochastic language modelling
Hermann Ney, Ute Essen, and Reinhard Kneser. 1994 · 1994
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Choosing the word most typical in context using a lexical co-occurrence network
Philip Edmonds. 1997 · 1997
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
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Nltk: The natural language toolkit
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The english lexical substitution task
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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Neural machine translation by jointly learning to align and translate
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Learning phrase representations using RNN encoder-decoder for statistical machine translation
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V. Le. 2014 · 2014
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TensorFlow: Large-scale machine learning on heterogeneous systems
Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dandelion Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. 2015 · 2015
Dynet: The dynamic neural network toolkit
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, and Pengcheng Yin. 2017 · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Identifying informational vs. conversational questions on community question answering archives
Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, and Bracha Shapira. 2018 · 2018
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context2vec: Learning generic context embedding with bidirectional LSTM
Oren Melamud, Jacob Goldberger, and Ido Dagan. 2016 · 2016
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Grammatical error correction: Machine translation and classifiers
Alla Rozovskaya and Dan Roth. 2016 · 2016
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Swivel: Improving embeddings by noticing what’s missing
Noam Shazeer, Ryan Doherty, Colin Evans, and Chris Waterson. 2016 · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Łukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016 · 2016
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Implicit dimension identification in user-generated text with lstm networks
Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, and Lior Rokach. 2019a
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Choosing the right word: Using bidirectional lstm tagger for writing support systems
Victor Makarenkov, Lior Rokach, and Bracha Shapira. 2019b
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Pivot based language modeling for improved neural domain adaptation
Yftah Ziser and Roi Reichart. 2018 · 2018
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Utilizing pre-trained word embeddings to learn classification lexicons with little supervision
Frederick Blumenthal and Ferdinand Graf. 2019 · 2019
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Assessing bert’s syntactic abilities
Yoav Goldberg. 2019 · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Kopf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala. 2019 · 2019
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, and Jamie Brew. 2019 · 2019
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