文件名称：Deep Learning in Natural Language Processing
文件大小：9.79MB
文件格式：PDF
更新时间：2021-11-27 08:06:57
人工智能 深度学习 自然语言处理
这本书是2018年Springer出版的自然语言处理领域的书籍，有知名学者邓力、刘洋等人共同编写。此书介绍了深度学习在 NLP 常见问题中的应用，还对 NLP 未来发展的研究方向进行了探讨，包括神经符号整合框架、基于记忆的模型、先验知识融合以及深度学习范式（如无监督学习、生成式学习、多模学习、多任务学习和元学习等）。 In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence.