CS 904: Natural Language Processing COURSE INFORMATION

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CS 904 Natural Language ProcessingCOURSE
INFORMATION

• L. Venkata Subramaniam
• January 2, 2002

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Contact Information

• Instructor L. Venkata Subramaniam, IBM India
  Research Lab, Block I.
• Contact
• Phone (IIT internal) 6104 (External) 686 1100
• Email lvsubram_at_in.ibm.com
• Stay in touch
• Course Home page http//www.cse.iitd.ernet.in/lv
  s/cs904.htm
• CS904 Mailing List (subscribe by sending me email)

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Course Description

• In this course we will introduce statistical
  techniques for inferring structure from text. The
  aim of the course is to introduce existing
  techniques in statistical NLP and to stimulate
  thought into bettering these. We will look in
  detail at the application of NLP in Information
  Retrieval, Information Extraction, Dialog based
  Transaction Systems and Statistical Machine
  Translation.
• Homeworks and project form an important component.

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Course Text Book

• Foundations of Statistical Natural Language
  Processing, Chris Manning and Hinrich Schütze,
  MIT Press. Cambridge, MA May 1999.
• Book URL http//www.sultry.arts.usyd.edu.au/fsnlp
  /
• Other References
• J. F. Allen, Natural Language Understanding,
  Benjamin Cummings, 1987, Second Edition, 1994.
• Other Texts and Papers that will be prescribed
  from time to time.
• Resources on the internet.

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Prerequisites

• Programming skills (any favourite language will
  do).
• Basic maturity in mathematics.
• We will build on all key concepts in class.

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Grading

• Minor I II 30
• Major 20
• Homework 30
• Project 20

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Homeworks

• Handing out first class of the week.
• Submissions in one week.
• Late Homeworks will not be graded.
• Homework Policy must be done individually.
• Help seek help only from the instructors.
• Solutions will be posted two weeks from due
  date.
• Programming assignments to give hands-on
  experience on each topic. Submit over email/give
  demo.

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Class Discussions

• Every week one person will lead a class
  discussion of about 20 mins duration on a
  predecided topic.
• The discussion leaders job will be to
• come prepared on the topic (usually a topic of
  popular interest)
• give a brief introduction
• be prepared to ask questions to stimulate a
  discussion.
• be prepared to answer questions from the class on
  this topic.
• Class participation will carry the weight of one
  homework.

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Project

• Projects will be decided in early March.
• Projects can be picked in consultation with the
  instructor.
• Projects have to be done individually.
• Projects will require about four weeks of work.

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What's expected from you

• Stay up to date with readings.
• Do your homeworks. Homeworks will be handed out
  every week. So the responsibility is on you to
  get them even if you are absent from class.
• When your turn comes to lead a class discussion
  come well prepared.
• Participate in class by asking questions.
• Always have all your doubts cleared.

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Course Page

• http//www.cse.iitd.ernet.in/lvs/cs904.htm
• Class notes, tutorials, assignments,
  announcements etc. will be posted here.
• Best way to keep up with the goings on.
• Feel free to point me to new and interesting
  sites, articles for putting up on the site for
  everyone to see.