Aligning context-based statistical models of language with brain activity during reading

EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2014, Pages 233-243

  Wehbe, Leila ^a,b   Vaswani, Ashish ^c   Knight, Kevin ^c   Mitchell, Tom ^a,b  

^a Carnegie Mellon University   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN MAPPING; EMBEDDINGS; FORECASTING; MAGNETOENCEPHALOGRAPHY; NATURAL LANGUAGE PROCESSING SYSTEMS; NEUROPHYSIOLOGY;

BRAIN ACTIVITY; FEATURE VECTORS; LATENT VECTORS; MODEL CONTEXTS; NATURAL LANGUAGE PROCESSING; NETWORK EMBEDDING; VECTOR REPRESENTATIONS; VISUAL CORTEXES;

BRAIN;

EID: 84961290686     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/d14-1030     Document Type: Conference Paper

References (19)

1. Yoav Benjamini and Daniel Yekutieli. 2001. The control of the false discovery rate in multiple testing under dependency. Annals of statistics, pages 1165- 1188.
2. Augusto Buchweitz, Robert A Mason, Lêda Tomitch, and Marcel Adam Just. 2009. Brain activation for reading and listening comprehension: An fMRI study of modality effects and individual differences in language comprehension. Psychology & neuroscience, 2(2):111-123.
3. Kacper Chwialkowski and Arthur Gretton. 2014. A kernel independence test for random processes. arXiv preprint arXiv:1402.4501.
4. Ronald Aylmer Fisher. 1925. Statistical methods for research workers. Genesis Publishing Pvt Ltd.
5. Stefan L Frank, Leun J Otten, Giulia Galli, and Gabriella Vigliocco. 2013. Word surprisal predicts N400 amplitude during reading. In Proceedings of the 51st annual meeting of the Association for Computational Linguistics, pages 878-883.
6. Angela D Friederici. 2002. Towards a neural basis of auditory sentence processing. Trends in cognitive sciences, 6(2):78-84.
7. Gene H Golub, Michael Heath, and Grace Wahba. 1979. Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics, 21(2):215-223.
8. Peter Hagoort. 2003. How the brain solves the binding problem for language: A neurocomputational model of syntactic processing. Neuroimage, 20:S18-S29.
9. Nikolaus Kriegeskorte, Rainer Goebel, and Peter Bandettini. 2006. Information-based functional brain mapping. Proceedings of the National Academy of Sciences of the United States of America, 103(10):3863-3868.
10. Tomas Mikolov, Stefan Kombrink, Anoop Deoras, Lukar Burget, and J Cernocky. 2011. RNNLMrecurrent neural network language modeling toolkit. In Proc. of the 2011 ASRU Workshop, pages 196- 201.
11. Tomas Mikolov. 2012. Statistical Language Models Based on Neural Networks. Ph.D. thesis, Brno University of Technology.
12. Vinod Nair and Geoffrey E. Hinton. 2010. Rectified linear units improve restricted Boltzmann machines. In Proceedings of ICML, pages 807-814.
13. Joanne K. Rowling. 2012. Harry Potter and the Sorcerer's Stone. Harry Potter US.
14. Pottermore Limited. Riitta Salmelin. 2007. Clinical neurophysiology of language: The MEG approach. Clinical Neurophysiology, 118(2):237-254.
15. Gustavo Sudre, Dean Pomerleau, Mark Palatucci, Leila Wehbe, Alona Fyshe, Riitta Salmelin, and Tom Mitchell. 2012. Tracking neural coding of perceptual and semantic features of concrete nouns. NeuroImage, 62(1):451-463.
16. Samu Taulu and Juha Simola. 2006. Spatiotemporal signal space separation method for rejecting nearby interference in MEG measurements. Physics in medicine and biology, 51(7):1759.
17. Samu Taulu, Matti Kajola, and Juha Simola. 2004. Suppression of interference and artifacts by the signal space separation method. Brain topography, 16(4):269-275.
18. Ashish Vaswani, Yinggong Zhao, Victoria Fossum, and David Chiang. 2013. Decoding with large-scale neural language models improves translation.
19. Leila Wehbe, Brian Murphy, Partha Talukdar, Alona Fyshe, Aaditya Ramdas, and Tom Mitchell. 2014. Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses. in press.