Deep learning in natural language processing
Abstract
In recent years, there have been numerous breakthroughs by deep learning in various natural language processing (NLP) fields. This chapter will introduce common deep learning models and practical skills in NLP tasks, which also lay the foundations in machine reading comprehension models. This includes deep learning techniques for natural language understanding and generation. This chapter requires a basic understanding of deep learning, neural networks, and PyTorch, which are described in detail in Appendix B.
Keywords
Natural language understanding; natural language generation; attention mechanism; encoder; decoder
3.1 From word vector to text vector
Suppose a sentence contains n words ...
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