Fall 2023
INF 385T Special Topics in Information Science : Natural Language Processing and Applications
DESCRIPTION
The course aims to cover fundamental concepts in Natural Language Processing / Computational Linguistics and how they are used to solve real-world problems. Classes in each week may be divided into two segments: (a) Theory and Methods, a concise description of an NLP concept, and (b) Lab Tutorial, a hands-on session on applying the theory to a real-world task on publicly available multilingual text datasets.
COURSE NOTES
Natural language processing (NLP) is concerned with interactions between computers and human through the medium of human languages. It involves analyzing, understanding, and generating human language, making it possible for machines to interpret and respond to human speech and text. NLP is currently making significant contributions to modern modern technological advancements and serves as the backbone of crucial applications such as question answering, human language translation summarization, sentiment and emotion analysis, search and recommendation and information extraction in healthcare. The proposed graduate-level course aims to cover fundamental concepts in Natural Language Processing / Computational Linguistics and how they are used to solve real-world problems. Classes in each week may be divided into two segments: (a) Theory and Methods, a concise description of an NLP concept, and (b) Lab Tutorial, a hands-on session on applying the theory to a real-world task on publicly available multilingual text datasets.
PREREQUISITES
Graduate standing.
RESTRICTIONS
Restricted to graduate students in the School of Information through registration periods 1 and 2. Outside students will be permitted to join our waitlists beginning with registration period 3.