Office Hours
- Bhuwan: Moday 1-2pm (online, zoom link);
Thursday after class 3-4pm (either in Phys 128 or LSRC D111) - TAs: Tuesday 11-12noon (in person North Building N232);
Wednesday 5-6pm (in person, North Building N232);
Friday 5-6pm (online, zoom link)
READINGS
The primary textbooks we will refer to in the course are Eisenstein’s Natural Language Processing and Jurafsky & Martin’s Speech and Language Processing (3rd Ed. draft). For deep learning related content another useful text is Goldberg’s Primer on Neural Networks for NLP. Any other readings relevant for a lecture will be listed under the schedule.
These readings are intended to complement the material discussed in the lecture. You may find it useful to refer to them before or after the class but you are not expected to know things which are not covered in the lectures.
Grading
The final grade will be comprised of:
- 4 assignments (1 x 5% + 3 x 15% = 50%)
- 1 quiz (10%)
- Final project (35%)
- In-class + Ed participation (3%)
- Filling out the course evaluation at the end of the semester (2%)
Policies
Communication: We will use Ed for communication between students and instructors. You can find a link to it at the top.
Late days: We will allow a total of 3 late days on the assignments (cumulatively, not per assignment). You do not need permission to take these. After your allotted late days, you will lose 15% per additional day. If there is an unforeseen health or personal emergency, please contact the instructor.
Collaboration: You may discuss the assignments with other students but all the text and code must be produced independently by you. We will use Moss for detecting plagiarism. Any violations will be dealt with seriously. As a student, you must abide by the academic honesty standard of Duke University.
Disabilities: Students with disabilities are encouraged to request appropriate accommodations through the Duke disability management system.
Diversity: We hope that this course will serve students from diverse backgrounds and perspectives equally and respectfully. If you have any concerns or suggestions for improving the effectiveness of this course, please let the instructor know.
Covid Info
The Provost’s office has informed us that:
- As of now masking is required in class and we are to report non-compliant students to Student Conduct (the punishment can include losing on-campus privileges).
- There is an official way to notify us if you test positive for the virus: you are to use the short-term illness form, which automatically sends a notice to the academic dean.
