Deep Learning Specialization on Coursera

Michael Collins的“自然语言处理”公开课将于13年2月份在Coursera上推出

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NLP领域的大牛Michael Collins将于13年2月份在Coursera上推出“自然语言处理”公开课,虽然很遥远,但仍然值得期待。以下是课程的相关介绍:

Natural Language Processing

Michael Collins

Have you ever wondered how to build a system that automatically translates between languages? Or a system that can understand natural language instructions from a human? This class will cover the fundamentals of mathematical and computational models of language, and the application of these models to key problems in natural language processing.

About the Course

Natural language processing (NLP) deals with the application of computational models to text or speech data. Application areas within NLP include automatic (machine) translation between languages; dialogue systems, which allow a human to interact with a machine using natural language; and information extraction, where the goal is to transform unstructured text into structured (database) representations that can be searched and browsed in flexible ways. NLP technologies are having a dramatic impact on the way people interact with computers, on the way people interact with each other through the use of language, and on the way people access the vast amount of linguistic data now in electronic form. From a scientific viewpoint, NLP involves fundamental questions of how to structure formal models (for example statistical models) of natural language phenomena, and of how to design algorithms that implement these models.

In this course you will study mathematical and computational models of language, and the application of these models to key problems in natural language processing. The course has a focus on machine learning methods, which are widely used in modern NLP systems: we will cover formalisms such as hidden Markov models, probabilistic context-free grammars, log-linear models, and statistical models for machine translation. The curriculum closely follows a course currently taught by Professor Collins at Columbia University, and previously taught at MIT.

About the Instructor(s)

Michael Collins is the Vikram S. Pandit Professor of Computer Science at Columbia University. Michael received Bachelors and MPhil degrees from Cambridge University, and a PhD from University of Pennsylvania. He was then a researcher at AT&T Labs (1999-2002), and an assistant/associate professor at MIT (2003-2010), before joining Columbia University in January 2011. His research areas are natural language processing and machine learning, with a focus on problems such as statistical parsing, structured prediction problems in machine learning, and applications including machine translation, dialog systems, and speech recognition. Michael is a fellow of the Association for Computational Linguistics, and has received various awards including a Sloan fellowship, an NSF Career award, as well as best paper awards at several conferences.

Course Syllabus

Topics covered include:

1. Language modeling.
2. Hidden Markov models, and tagging problems.
3. Probabilistic context-free grammars, and the parsing problem.
4. Statistical approaches to machine translation.
5. Log-linear models, and their application to NLP problems.
6. Unsupervised and semi-supervised learning in NLP.


时间: 2012年 10月 15日 分类:自然语言处理 作者: 52nlp (3,230 基本)


0 投票
已回复 2012年 12月 13日 作者: theearther (180 基本)

另外可以考虑学习这些英文公开课的时候刚好也同时学了英文。ps, 欢迎来我们的新社区挖课讨论。


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