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Neural networks models for NLP are typically implemented without the explicit encoding of language rules and yet they are able to break one performance record after another.
Transformer-xl: Attentive language models beyond a fixed-length context
Dai, Z., Yang, Z., Yang, Y., Cohen, W. W., Carbonell, J., Le, Q. V., and Salakhutdinov, R. (2019) · 1901
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Assessing bert’s syntactic abilities
Goldberg, Y. (2019) · 1901
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Controlling the false discovery rate: a practical and powerful approach to multiple testing
Benjamini, Y. and Hochberg, Y. (1995) · 1995
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Distribution-free multiple testing
Arias-Castro, E., Chen, S., · 2001
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How the brain solves the binding problem for language: a neurocomputational model of syntactic processing
Hagoort, P. (2003) · 2003
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Suppression of interference and artifacts by the signal space separation method
Taulu, S., Kajola, M., and Simola, J. (2004) · 2004
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Information-based functional brain mapping
Kriegeskorte, N., Goebel, R., and Bandettini, P. (2006) · 2006
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Can cognitive processes be inferred from neuroimaging data?
Poldrack, R. A. (2006) · 2006
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Spatiotemporal signal space separation method for rejecting nearby interference in meg measurements
Taulu, S. and Simola, J. (2006) · 2006
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The cortical organization of speech processing
Hickok, G. and Poeppel, D. (2007) · 2007
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Identifying natural images from human brain activity
Kay, K. N., Naselaris, T., Prenger, R. J., and Gallant, J. L. (2008) · 2008
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Predicting human brain activity associated with the meanings of nouns
Mitchell, T. M., Shinkareva, S. V., Carlson, A., Chang, K.-M., Malave, V. L., Mason, R. A., and Just, M. A. (2008) · 2008
Earlier work this paper cites.
Reading stories activates neural representations of visual and motor experiences
Speer, N., Reynolds, J., Swallow, K., and Zacks, J. (2009) · 2009
Earlier work this paper cites.
Syntactic structure building in the anterior temporal lobe during natural story listening
Brennan, J., Nir, Y., Hasson, U., Malach, R., Heeger, D., and Pylkkänen, L. (2010) · 2010
Earlier work this paper cites.
The brain basis of language processing: from structure to function
Friederici, A. D. (2011) · 2011
Earlier work this paper cites.
Topographic mapping of a hierarchy of temporal receptive windows using a narrated story
Lerner, Y., Honey, C. J., Silbert, L. J., and Hasson, U. (2011) · 2011
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Reconstructing visual experiences from brain activity evoked by natural movies
Nishimoto, S., Vu, A., Naselaris, T., Benjamini, Y., Yu, B., and Gallant, J. (2011) · 2011
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Freesurfer
Fischl, B. (2012) · 2012
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Harry Potter and the Sorcerer’s Stone
Rowling, J. (2012) · 2012
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Tracking neural coding of perceptual and semantic features of concrete nouns
Sudre, G., Pomerleau, D., Palatucci, M., Wehbe, L., Fyshe, A., Salmelin, R., and Mitchell, T. (2012) · 2012
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Reworking the language network
Fedorenko, E. and Thompson-Schill, S. L. (2014) · 2014
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Interpretable semantic vectors from a joint model of brain-and text-based meaning
Fyshe, A., Talukdar, P. P., Murphy, B., and Mitchell, T. M. (2014) · 2014
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Optimal rates and tradeoffs in multiple testing
Rabinovich, M., Ramdas, A., Jordan, M. I., and Wainwright, M. J. (2017) · 2017
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Attention is all you need
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, Ł., and Polosukhin, I. (2017) · 2017
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Cer, D., Yang, Y., Kong, S.-y., Hua, N., Limtiaco, N., John, R. S., Constant, N., Guajardo-Cespedes, M., Yuan, S., Tar, C., · 2018
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What you can cram into a single vector: Probing sentence embeddings for linguistic properties
Conneau, A., Kruszewski, G., Lample, G., Barrault, L., and Baroni, M. (2018) · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Aligning context-based statistical models of language with brain activity during reading
Wehbe, L., Vaswani, A., Knight, K., and Mitchell, T. M. (2014a) · 2014
Cited alongside, same era.
The erp response to the amount of information conveyed by words in sentences
Frank, S. L., Otten, L. J., Galli, G., and Vigliocco, G. (2015) · 2015
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Pycortex: an interactive surface visualizer for fmri
Gao, J. S., Huth, A. G., Lescroart, M. D., and Gallant, J. L. (2015) · 2015
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Skip-thought vectors
Kiros, R., Zhu, Y., Salakhutdinov, R. R., Zemel, R., Urtasun, R., Torralba, A., and Fidler, S. (2015) · 2015
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Natural speech reveals the semantic maps that tile human cerebral cortex
Huth, A. G., de Heer, W. A., Griffiths, T. L., Theunissen, F. E., and Gallant, J. L. (2016) · 2016
Cited alongside, same era.
Assessing the ability of lstms to learn syntax-sensitive dependencies
Linzen, T., Dupoux, E., and Goldberg, Y. (2016) · 2016
Cited alongside, same era.
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2018) · 2018
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Finding syntax in human encephalography with beam search
Hale, J., Dyer, C., Kuncoro, A., and Brennan, J. R. (2018) · 2018
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Universal language model fine-tuning for text classification
Howard, J. and Ruder, S. (2018) · 2018
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Incorporating context into language encoding models for fmri
Jain, S. and Huth, A. (2018) · 2018
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Targeted syntactic evaluation of language models
Marvin, R. and Linzen, T. (2018) · 2018
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Peng, H., Schwartz, R., Thomson, S., and Smith, N. A. (2018) · 2018
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Deep contextualized word representations
Peters, M. E., Neumann, M., Iyyer, M., Gardner, M., Clark, C., Lee, K., and Zettlemoyer, L. (2018) · 2018
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On the practical computational power of finite precision rnns for language recognition
Weiss, G., Goldberg, Y., and Yahav, E. (2018) · 2018
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Exploring semantic properties of sentence embeddings
Zhu, X., Li, T., and de Melo, G. (2018) · 2018
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Regularized brain reading with shrinkage and smoothing
Wehbe, L., Ramdas, A., Steorts, R. C., and Shalizi, C. R. (2015) · 2022
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Controlling the false discovery rate via knockoffs
Barber, R. F., Candès, E. J., · 2085
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