CS674 Natural Language Processing | |
| |
Spring 2005 | |
| |
Time: Mondays and Wednesdays, 11:15-12:05 Place: 216 Olin Hall Instructor: Claire Cardie, 5161 Upson Hall Office hours: Monday 1-2, Thursday 3-4 | |
Course Management System (CMS): We'll be using the CS department course management system for submission of assignments, grading, etc. You can get to CMS via the above link. You'll need your Cornell netid and password.
Resources:
| |
Course Description | |
This course presents a graduate-level introduction to natural language processing, the primary concern of which is the study of human language use from a computational perspective. The course covers syntactic analysis, semantic interpretation, and discourse processing, examining both symbolic and statistical approaches. Possible topics include information extraction, natural language generation, memory models, ambiguity resolution, finite-state methods, mildly context-sensitive formalisms, deductive approaches to interpretation, machine translation, and machine learning of natural language. | |
Topics to be Covered (tentative) | |
Introduction to NLP History and state-of-the-art Lexical semantics and word-sense disambiguation Part-of-speech tagging and HMMs Morphology Context-sensitive spelling correction Noisy channel model Language modeling Parsing Discourse processing Dialogue systems Generation Inference and world knowledge Semantic analysis Information extraction Machine Translation | |
Reference Material | |
The recommended text book for the
course is: Daniel Jurafsky and James H. Martin, Speech
and Language Processing, Prentice-Hall, 2000.
Other useful references:
| |
Prerequisites | |
Elementary computer science background, elementary knowledge of probability, familiarity with context-free grammars. | |
Grading | |
| |
Academic Integrity | |
You are responsible for knowing and
following Cornell's academic
integrity policy. Absolute integrity is expected of every Cornell student in all
academic undertakings; he/she must in no way misrepresent his/her work
fraudulently or unfairly advance his/her academic status, or be a party to
another student's failure to maintain academic integrity. The maintenance
of an atmosphere of academic honor and the fulfillment of the provisions
of this Code are the responsibilities of the students and faculty of
Cornell University.
Therefore, all students and faculty members shall refrain from any action
that would violate the basic principles of this Code. Violation of the
academic integrity policy will not be tolerated, and will result in an F
in the course.
See the University Code of Academic Integrity and the Department Policy on Academic Integrity. |