Natural Language Processing II

2025/2026

Учебный год

ENG

Обучение ведется на английском языке

Кто читает:

Департамент бизнес-информатики и операционного менеджмента

Статус:

Курс по выбору

Когда читается:

1-й курс, 2 модуль

Course Syllabus

Abstract

Prerequisites: strong knowledge and skills in Python (numpy, pandas, scikit-learn), mathematical statistics, and machine learning modeling. Natural language processing (NLP) is an important field of computer science, artificial intelligence and linguistics aimed at developing systems that are able to understand and generate natural language at the human level. Modern NLP systems are predominantly based on machine learning (ML) and deep learning (DL) algorithms, and have demonstrated impressive results in a wide range of NLP tasks such as summarization, machine translation, named entity recognition, relationship extraction, sentiment analysis, speech recognition, and topic modeling. We interact with such systems and use products involving NLP on a daily basis which makes it exciting to learn how these systems work. This course covers the main topics in NLP, ranging from text preprocessing techniques to state-of-the-art neural architectures. We hope to facilitate interest in the field by combining the theoretical basis with the practical applications of the material.