NLP

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Difficulties

Natural Language has an extremely rich form and structure. It is very ambiguous. There can be different levels of ambiguity

• Lexical ambiguity: it is at very primitive level such as word-level. For example, treating the word “board” as noun or verb?
• Syntax level ambiguity: A sentence be parsed in different ways. For example, “He lifted the beetle with the red cap?” - did he use cap to lift the beetle or he lifted a beetle that had red cap?
• Referential ambiguity: referring to something using pronouns. For example, Rima went to Gauri. She said “I am tired”. - Exactly who is tired?
• One input can mean different meanings.
• Many inputs can mean the same thing.

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Company

• 深度好奇
• 腾讯文智
• 哈工大LTP
• 百度NLP
• 达观数据
• 明略数据
• 三角兽

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• 详解：知乎如何使用机器学习，未来还有哪些想象空间
• 知乎张瑞: 浅析机器学习理论与实践 | 业界对话

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blog

• Hal Daumé III - Natural Language Processing blog
• Magizbox
• Matrix67 语言学
• https://medium.com/tag/nlp

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Courses

• Stanford
  • Deep Learning for Natural Language Processing (without Magic)
  • Natural Language Processing - Lecture Slides from the Stanford Coursera course
  • CS124/Ling180: From Languages to Information
  • CS224U: Natural Language Understanding
• Michael Collins's notes, and course: COMS W4705: Natural Language Processing
• NYU
  • spring 2017 - Natural Language Processing
  • fall 2017 - Statistical Natural Language Processing
  • spring 2017 - Advanced Natural Language Processing
• CMU
• 宗成庆：自然语言理解
• UMass : Introduction to Natural Language Processing

books

• Speech and Language Processing (3rd ed. draft) by Dan Jurafsky and James H. Martin
• NLTK book

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• DeepMind与牛津联合授课了？对，是深度NLP，刚刚还把「全部」视频、PPT和讲解整理开放了！
• 李航NSR论文：深度学习NLP的现有优势与未来挑战
• CMU神经网络自然语言处理课程
• Deep Learning for NLP Best Practices
• EMNLP
  • Highlights of EMNLP 2017: Exciting Datasets, Return of the Clusters, and More!
  • Highlights of EMNLP 2016: Dialogue, deep learning, and more and, Sebastian's post
  • EMNLP 2015 Highlights
• Melanie Tosik: How to get started in NLP
• Javier Couto - The Definitive Guide to Natural Language Processing
• Introduction to Natural Language Processing, Part 1: Lexical Units
• Introduction to Natural Language Processing (NLP)