Fundamentals of Natural Language Processing

Catalog description

How can machines understand and use human languages? This course examines modern computational approaches based on representation learning for processing, understanding, and using human language. These include vector-space models of word meaning, neural network-based deep learning methods, and large language models. Together, they will give students the tools to build state-of-the-art models for language-based applications like machine translation and dialogue systems.