Robust autonomous language understanding has the potential to transform how we interact with computers, extract information from text, and study language on large scale. Building systems that understand natural language provides avenues for both new applications and better understanding of language itself.
This is a research-first course. We will focus on a deep dive into 2–3 cutting-edge research topics through paper readings, presentations, and discussions. The topics of focus for Fall 2020 will be posted here closer to the beginning of the semester along with list of papers. Potential topics include NLP+CogSci and NLP+RL.
The course will include a research project component due at the end of the semester. Throughout the semester, we will focus on reading, presenting, and discussing papers. We will use a conference reviewing system to submit paper reviews. We will potentially also host invited speakers for talks.
Students who already took the class in the past and wish to re-take it, may take the class without submitting a project for an S/U grade. This requires instructor permission, so please obtain it in advance.
This class is intended for both NYC and Ithaca PhD students. All non-PhD students require instructor permission to enroll. Unfortunately, we are only able to consider requests only after the first day of the semester.
How do differences between Ithaca and NYC calendars influence this course? As Cornell’s Ithaca campus schedule for the fall is being finalized the class time may change. Most important: we will find a common ground between the calendars to allows students from both campuses to attend the class, so please do enroll. It will be a fun semester :)