Course Details

Time/Location

CS 11-711
Language Technologies Institute, School of Computer Science
Carnegie Mellon University
Tuesday/Thursday 2:00-3:20PM, Tepper 1403

Content

Advanced natural language processing is an introductory graduate-level course on natural language processing aimed at students who are interested in doing cutting-edge research in the field. In it, we describe fundamental tasks in natural language processing such as syntactic, semantic, and discourse analysis, as well as methods to solve these tasks. The course focuses on modern methods using neural networks, and covers the basic modeling and learning algorithms required therefore. The class culminates in a project in which students attempt to reimplement and improve upon a research paper in a topic of their choosing.

Pre-requisites: There are no hard pre-requisites for the course, but programming experience in Python and knowledge of probability and linear algebra are expected. It will be helpful if you have used neural networks previously.

Class Format

For each class there will be:

  • Reading: Most classes will have associated reading material that we recommend you read before the class to familiarize yourself with the topic.
  • Lecture and Discussion: There will be a lecture and discussion regarding the class material. This will be recorded and posted online for those who cannot make the in-person class.
  • Code/Data Walk: Some classes will involve looking through code or data.
  • Quiz: There will be a quiz covering the reading material and/or lecture material that you can fill out on Canvas. The quiz will be released by the end of the day of the class and will be due at the end of the following day.

Questions and Discussion: Ideally in class or through piazza so we can share information with the class, but emailing the TA mailing list and coming to office hours are also encouraged.

Grading

The assignments will be given a grade of A+ (100), A (96), A- (92), B+ (88), B (85), B- (82), or below. The final grades will be determined based on the weighted average of the quizzes, assignments, and project. Cutoffs for final grades will be approximately 97+ A+, 93+ A, 90+ A-, 87+ B+, 83+ B, 80+ B-, etc., although we reserve some flexibility to change these thresholds slightly.

  • Quizzes: Worth 20% of the grade. Your lowest 3 quiz grades will be dropped.
  • Assignments: There will be 4 assignments (the final one being the project), worth respectively 15%, 15%, 20%, 30% of the grade.

The details of the assignments are elaborated on the assignments page.

FAQ

  • Q: Can I have a group of 1 person, or more than 3 people?
  • No, groups must be of size 2 or 3.
  • Q: Is participation in the semester-end poster presentation mandatory?
  • Yes, it is mandatory.
  • Q: Can I use a late day on the final project?
  • No, late days cannot be used on the final project.