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Unfolding Recurrent Neural Networks

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Deep Learning for Natural Language Processing

Abstract

This chapter covers the use of contextual information across text. With textual work in any form, i.e., speech, text, and print, and in any language, to understand the information provided in it, we try to capture and relate the present and past contexts and aim to gain something meaningful from them. This is because the structure of text creates a link within a sentence and across sentences, just like thoughts, which are persistent throughout.

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© 2018 Palash Goyal, Sumit Pandey, Karan Jain

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Goyal, P., Pandey, S., Jain, K. (2018). Unfolding Recurrent Neural Networks. In: Deep Learning for Natural Language Processing. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3685-7_3

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