Language models: text classification and noun entity recognition

This course is a required part of the curriculum for the new interdisciplinary master's program "Artificial Intelligence for Text Processing and Speech Generation," which held its first intake in the 2024/2025 academic year. The goal of the course is to develop the ability to apply the theoretical foundations of distributional semantics and computational linguistics to selecting and fine-tuning large language models aimed at solving text classification and Named Entity Recognition (NER) tasks (PC-4). Upon completing the course, as a final project, the student must implement the practical component of their master's thesis. Practical projects will be carried out in stages throughout the course as independent homework assignments, following the pattern of problems covered in class. In addition to the coursework, the class will examine machine learning cases from ongoing projects the course author is involved in — specifically, interdisciplinary projects supported by the MSU Development Program and the Russian Federal Agency for Scientific Organizations (FASO).

Classes are held at the Faculty of Foreign Languages and Regional Studies of Lomonosov Moscow State University.

The course program includes 16 classes: 8 lectures and 8 workshops, as well as 8 practical homework assignments.

Format of the event: offline

Course start: February 10, 2025

Classes will be held on Mondays from 13:00 to 14:30

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Enrollment for the 2025 course is closed