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Cognitively inspired NLP leverages human-derived data to teach machines about language processing mechanisms.
Advancing NLP with cognitive language processing signals
Nora Hollenstein, Maria Barrett, Marius Troendle, Francesco Bigiolli, Nicolas Langer, and Ce Zhang. 2019a · 1904
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Visual awareness, emotion, and gamma band synchronization
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BNC database and word frequency lists
Adam Kilgarriff. 1995 · 1995
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LSTM can solve hard long time lag problems
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Random forests
Leo Breiman. 2001 · 2001
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Eye movements and word skipping during reading revisited
Denis Drieghe, Keith Rayner, and Alexander Pollatsek. 2005 · 2005
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Integrating probabilistic extraction models and data mining to discover relations and patterns in text
Aron Culotta, Andrew McCallum, and Jonathan Betz. 2006 · 2006
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Worry, generalized anxiety disorder, and emotion: Evidence from the eeg gamma band
Desmond J Oathes, William J Ray, Alissa S Yamasaki, Thomas D Borkovec, Louis G Castonguay, Michelle G Newman, and Jack Nitschke. 2008 · 2008
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Emotion classification based on gamma-band EEG
Mu Li and Bao-Liang Lu. 2009 · 2009
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Boosting cortical activity at beta-band frequencies slows movement in humans
Alek Pogosyan, Louise Doyle Gaynor, Alexandre Eusebio, and Peter Brown. 2009 · 2009
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Using electroencephalography to measure cognitive load
Pavlo Antonenko, Fred Paas, Roland Grabner, and Tamara Van Gog. 2010 · 2010
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Semeval-2010 task 8: Multi-way classification of semantic relations between pairs of nominals
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The influence of number of syllables on word skipping during reading
Gemma Fitzsimmons and Denis Drieghe. 2011 · 2011
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Scikit-learn: Machine learning in Python
F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. 2011 · 2011
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Eye movements and word skipping during reading: effects of word length and predictability
Keith Rayner, Timothy J Slattery, Denis Drieghe, and Simon P Liversedge. 2011 · 2011
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Spectral EEG features for evaluating cognitive load
Pega Zarjam, Julien Epps, and Fang Chen. 2011 · 2011
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Alpha-band oscillations, attention, and controlled access to stored information
Wolfgang Klimesch. 2012 · 2012
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng, and Christopher Potts. 2013 · 2013
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Ontonotes release 5.0 ldc2013t19
Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, et al. 2013 · 2013
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Multi-task learning for multiple language translation
Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, and Haifeng Wang. 2015 · 2015
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Deep multi-task learning with low level tasks supervised at lower layers
Anders Søgaard and Yoav Goldberg. 2016 · 2016
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Learning cognitive features from gaze data for sentiment and sarcasm classification using convolutional neural network
Abhijit Mishra, Kuntal Dey, and Pushpak Bhattacharyya. 2017 · 2017
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Sequence classification with human attention
Maria Barrett, Joachim Bingel, Nora Hollenstein, Marek Rei, and Anders Søgaard. 2018 · 2018
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ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading
Nora Hollenstein, Jonathan Rotsztejn, Marius Troendle, Andreas Pedroni, Ce Zhang, and Nicolas Langer. 2018 · 2018
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Zero-shot sequence labeling: Transferring knowledge from sentences to tokens
Marek Rei and Anders Søgaard. 2018 · 2018
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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The human kernel
Andrew Gordon Wilson, Christoph Dann, Christopher G. Lucas, and Eric P. Xing. 2015 · 2015
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Investigating critical frequency bands and channels for eeg-based emotion recognition with deep neural networks
Wei-Long Zheng and Bao-Liang Lu. 2015 · 2015
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Weakly supervised part-of-speech tagging using eye-tracking data
Maria Barrett, Joachim Bingel, Frank Keller, and Anders Søgaard. 2016 · 2016
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Human attention in visual question answering: Do humans and deep networks look at the same regions?
Abhishek Das, Harsh Agrawal, Larry Zitnick, Devi Parikh, and Dhruv Batra. 2016 · 2016
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Measurement of cognitive load in HCI systems using EEG power spectrum: an experimental study
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Neural architectures for named entity recognition
Guillaume Lample, Miguel Ballesteros, Sandeep Subramanian, Kazuya Kawakami, and Chris Dyer. 2016 · 2016
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Gopala K Anumanchipalli, Josh Chartier, and Edward F Chang. 2019 · 2019
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Linking artificial and human neural representations of language
Jon Gauthier and Roger Levy. 2019 · 2019
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Entity recognition at first sight: Improving NER with eye movement information
Nora Hollenstein and Ce Zhang. 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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Automagic: Standardized preprocessing of big EEG data
Andreas Pedroni, Amirreza Bahreini, and Nicolas Langer. 2019 · 2019
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Inducing brain-relevant bias in natural language processing models
Dan Schwartz, Mariya Toneva, and Leila Wehbe. 2019 · 2019
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Towards making a dependency parser see
Michalina Strzyz, David Vilares, and Carlos Gómez-Rodríguez. 2019 · 2019
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Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva and Leila Wehbe. 2019 · 2019
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Thinking theta and alpha: Mechanisms of intuitive and analytical reasoning
Chad C. Williams, Mitchel Kappen, Cameron D. Hassall, Bruce Wright, and Olave E. Krigolson. 2019 · 2019
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