Natural Language Processing course. Autumn 22

Natural Language Processing (NLP) is a domain of research whose objective is to analyze and understand human languages and develop technologies to enable human machine interactions with natural languages. NLP is an interdisciplinary field involving linguistics, computer sciences and artificial intelligence. The goal of this course is to provide students with comprehensive knowledge of NLP. Students will be equiped with the principles and theories of NLP, as well as various NLP technologies, including rule-based, statistical and neural network ones. After this course, students will be able to conduct NLP research and develop state-of-the-art NLP systems.

Official support channel: https://t.me/+AciH2MVMv_RiMGQy

Lecturers:
Valentin Malykh (personal page)

Logistics:
Lectures at Wednesday 19:10 MSK online.

Seminars will be added in the meantime.

Prerequisites

  • Basic Python Programming
  • College Calculus, Linear Algebra
  • Basic Probability and Statistics
  • Foundations of Machine Learning

Assignments:
There will be two assignments on the course.

Projects:
The participants will be suggested to work on a project during the course. The successful project development is crucial to pass the course.
The projects from previous semester are available here.

Track program