推荐一本2018年初发布的，由佐治亚理工学院交互计算学院副教授Jacob Eisenstein编写的深度学习与自然语言处理的教材。这本书由浅入深，在详细、全面介绍了自然语言处理相关的基础知识之上，结合了最新的深度学习技术，详细介绍了深度学习技术在自然语言处理很多方面的应用。文末附本书pdf下载地址。
主要内容
LEARNING
Linear text classification
Nonlinear Classification
Linguistic Application of Classification
Learning without Supervision
SEQUENCES and TREES
Language Models
Sequence Labeling
Applications of Sequence Labeling
Formal Language Theory
Context-free Parsing
Dependency Parsing
MEANING
Logical Semantics
Predicate-argument semantics
Distributional and Distributed Semantics
Reference Resolution
Discourse
APPLICATION
Information Extraction
Machine Translation
Text Generation
目录
