Neural Representations of Natural Language

• Main Authors: White, Lyndon (Author, http://id.loc.gov/vocabulary/relators/aut), Togneri, Roberto (http://id.loc.gov/vocabulary/relators/aut), Liu, Wei (http://id.loc.gov/vocabulary/relators/aut), Bennamoun, Mohammed (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Studies in Computational Intelligence, 783
• Subjects: Computational intelligence.; Signal processing.; Image processing.; Speech processing systems.; Pattern recognition.; Computational linguistics.; Computational Intelligence.; Signal, Image and Speech Processing.; Pattern Recognition.; Computational Linguistics.

This book offers an introduction to modern natural language processing using machine learning, focusing on how neural networks create a machine interpretable representation of the meaning of natural language. Language is crucially linked to ideas - as Webster's 1923 "English Composition an...

Table of Contents:

• Introduction
• Machine Learning for Representations
• Current Challenges in Natural Language Processing
• Word Representations
• Word Sense Representations
• Phrase Representations
• Sentence representations and beyond
• Character-Based Representations
• Conclusion.