Enriches readers' understanding of how neural networks create a machine interpretable representation of the meaning of natural language

Includes an introductory chapter on machine learning, allowing novice readers to quickly understand how it is revolutionizing the field of natural language processing

Highlights mature commercial and open-source implementations available, providing key tips for readers implementing the reviewed techniques themselves

Inhalt
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.