CS6493 - Natural Language Processing

Offering Academic Unit
Department of Computer Science
Credit Units
Course Duration
One semester
Course Offering Term*:
Semester B 2023/24

* The offering term is subject to change without prior notice
Course Aims

This course introduces algorithms and techniques for natural language processing, from computational linguistics for text processing to information extraction for language understanding. The topics include statistical and neural based language modeling, word representation, and pretrained language models such as BERT and GPT. Basic and advanced natural language processing tasks, such as machine translation, dialog systems, question answering, text classification/labeling/tagging, and knowledge graph will also be introduced.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 60%
Examination: 40%
Examination Duration: 2 hours
Detailed Course Information


Useful Links

Department of Computer Science