Structured Prediction 10-710 in Fall 2011
Instructor and Venue
- Instructors: William Cohen and Noah Smith, Machine Learning Dept and LTI
- Course secretary: Sharon Cavlovich, sharonw+@cs.cmu.edu, 412-268-5196
- When/where: Tues-Thursday 3:00-4:20 in Gates-Hillman 4211
- Course Number: ML 10-710 and LTI 11-763
- Prerequisites: a machine learning course (e.g., 10-701 or 10-601) or consent of the instructor.
- TA: Brendan O'Connor
- Syllabus: Syllabus for Structured Prediction 10-710 in Fall 2011
- Office hours: TBA
Description
This course seeks to cover statistical modeling techniques for discrete, structured data such as text. It brings together content previously covered in Language and Statistics 2 (11-762) and Information Extraction (10-707 and 11-748), and aims to define a canonical set of models and techniques applicable to problems in natural language processing, information extraction, and other application areas. Upon completion, students will have a broad understanding of machine learning techniques for structured outputs, will be able to develop appropriate algorithms for use in new research, and will be able to critically read related literature. The course is organized around methods, with example tasks introduced throughout.
The prerequisite is Machine Learning (10-601 or 10-701), or permission of the instructors.
Syllabus
Older syllabi
- Course page for Language and Stats 2, one of the "parent" courses of Structured Prediction:
- Older syllabi for Information Extraction, another of the "parent" courses of Structured Prediction:
- Syllabus for Information Extraction 10-707 in Fall 2010.
- Syllabus for Information Extraction 10-707 in Fall 2009.
- Syllabus for Information Extraction 10-707 in Spring 2007 - for historical interest.
- Syllabus for Information Extraction 10-707 in Spring 2004 - even more historical and less interesting.
Readings
Unless there's announcement to the contrary, required readings should be done before the class.
Grading
Grades are based on
- The class project
- Contributions to the wiki
- Class participation
