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

@inproceedings{Wehbe2014AligningCS,
  title={Aligning context-based statistical models of language with brain activity during reading},
  author={Leila Wehbe and Ashish Vaswani and Kevin Knight and Tom M. Mitchell},
  booktitle={EMNLP},
  year={2014}
}
Many statistical models for natural language processing exist, including context-based neural networks that (1) model the previously seen context as a latent feature vector, (2) integrate successive words into the context using some learned representation (embedding), and (3) compute output probabilities for incoming words given the context. On the other hand, brain imaging studies have suggested that during reading, the brain (a) continuously builds a context from the successive words and… CONTINUE READING
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