The graded material for the course consists of:
- 12 short homework assignments. Most of these involve performing linguistic annotation on some text of your choice. Each assignment should take less than one hour. You may skip two, but you must do homeworks #10 and #12, which involve giving feedback on the final project. Each homework is worth 2 points (20 total). This grade includes attendance on the due date, because we will discuss them in class.
- 4 assigned projects. These involve building and using NLP techniques which are at or near the state-of-the-art. They must be done individually. Each project is worth 10 points (40 total).
- 1 independent project. This may be done in a group of up to three. It is worth 20 points, including points for the proposal, presentation, and report.
- 1 in-class midterm exam, worth 20 points. Barring a medical emergency, you must take the exam on the day indicated in the schedule.
Students enrolled in the graduate number 7650 will have an additional, research-oriented component to each project assignment.
Homeworks and projects are due at the beginning of class; students should also bring a paper copy of homework and projects to class on the due date. Late homeworks will not be accepted; projects will be accepted up to three days late, at a penalty of 20% per day. This means that a project turned in at the end of class on the due date can receive a maximum score of 8/10 points towards your final grade. This late policy is intended to ensure fair evaluation for everybody.
One of the goals of the assigned work is to assess your individual progress in meeting the learning objectives of the course. You may discuss the homework and projects with other students, but your work must be your own -- particularly all coding and writing. Using external software resources is acceptable unless the assignment directs you not to, but you must clearly indicate which resources you have used. Using other people’s text or figures without attribution is plagiarism, and is never acceptable.
Suspected cases of academic misconduct will be referred to the Honor Advisory Council. For any questions involving these or any other Academic Honor Code issues, please consult me, my teaching assistants, or http://www.honor.gatech.edu