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Natural Language Processing

Course description:

This course will cover traditional material, as well as recent advances in the theory and practice of natural language processing (NLP) - the creation of computer programs that can understand, generate, and learn natural language. The course will introduce both knowledge-based and statistical approaches to NLP, illustrate the use of NLP techniques and tools in a variety of application areas, and provide insight into many open research problems.

class notes

Lecture	Reading material
Course overview [ppt]	-
Short Perl tutorial (I) [ppt]	One of the tutorials below [see the "Links" section]
Short Perl tutorial (II) [ppt]	One of the tutorials below [see the "Links" section]
Linguistics Essentials [ppt] Guest lecture by Ben Leong	Chap.3 [Manning & Schutze] or any book on English grammar
Language Models [ppt]	Chap.4 [Jurafsky & Martin]
Language Models [ppt]	Chap.4 [Jurafsky & Martin]
Language Models [ppt]	Chap.4 [Jurafsky & Martin]
Collocations [ppt]	Chap.5 [Manning & Schutze] [a prefinal version of this chapter is available online]
Word classes and part of speech tagging ppt]	Chap.5 [Jurafsky & Martin]
Word classes and part of speech tagging ppt]	Chap.5 [Jurafsky & Martin]
HMM Tagging. Viterbi Algorithm. [ppt]	Chap.6 [Jurafsky & Martin]
Context Free Grammars [ppt]	Chap.12-13 [Jurafsky & Martin]
Parsing with Context Free Grammars [ppt]	Chap.12-13 [Jurafsky & Martin]
Probabilistic Parsing [ppt] Guest lecture by Michael Mohler.	Chap.14 [Jurafsky & Martin]
Presentation and Workshop: "New Google Tools for Research" Mano Marks, Google Willis 136, first floor of Library 11:30am-2pm	-
Exam preparation.	All the material studied so far.
Exam I.	All the material studied so far.
Word Sense Disambiguation [ppt]	Chap. 19, 20 [Jurafsky & Martin]
Word Sense Disambiguation [ppt]	Chap.19, 20 [Jurafsky & Martin]
Word Sense Disambiguation [ppt]	Chap.19, 20 [Jurafsky & Martin]
No class.	-
Word Sense Disambiguation	-
Special topics: Subjectivity and sentiment analysis [ppt]	-
Special topics: Subjectivity and sentiment analysis [ppt]	-
Special topics: Text semantic similarity [ppt]	-
Special topics: Text classification [ppt]	-
Thanksgiving. No class.	-
Wrap-up. Project discussions. Exam II preparation.	-
Exam II.	-
Project presentations.	-
Project presentations.	-

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