Natural Language Processing
ETH Zürich, Spring 2021: Course catalog
Previous Classes: Fall 2020
This course presents topics in natural language processing with an emphasis on modern techniques, primarily focusing on statistical and deep learning approaches. The course provides an overview of the primary areas of research in language processing as well as a detailed exploration of the models and techniques used both in research and in commercial natural language systems.e processing as well as a detailed exploration of the models and techniques used both in research and in commercial natural language systems.
The objective of the course is to learn the basic concepts in the statistical processing of natural languages. The course will be project-oriented so that the students can also gain hands-on experience with state-of-the-art tools and techniques.
Marks for the course will be determined by the following formula:
* 70% Final Exam
* 30% Course Project/Assignment
Lectures: Wed 12-14h Zoom.
Discussion Sections: Thurs 17-18h; Fri 11-12h Zoom.
18.02 Class website is online!
18.02 We are using piazza as our discussion forum. Please enroll here.
24.02 First lecture.
04.03 First discussion section.
Every student has the option of completing either a research project or a structured assignment. The course project/assigment will be worth 30% of your final mark. The project would be an open-ended research project where students reimplement an existing research paper or perform novel research if they are so inclined. Please find the guidelines below. In the assignment, some of the questions would be more theoretical and resemble the questions you will see on the final exam. However, there may also be a large coding portion in the assignment, which would not look like the exam questions. For instance, we may ask you to implement a recurrent neural dependency parser. Please find the first portion of the assignment and the writeup template below. Assignments must be completed individually. Projects can be completed in groups of up to 4.
You can ask questions on piazza. Please post questions there, so others can see them and share in the discussion. If you have questions which are not of general interest, please don’t hesitate to contact us directly.
|Teaching Assistants||Clara Meister, Niklas Stoehr, Selena Pepic, Rita Kuznetsova, Anej Svete, Alexandra Butoi, Anton Rael, David Wissel, Rajai Nasser, Afra Amini, Alberto Pennino, Alexander Immer|