This is an advanced course in natural language processing (NLP). It explores deep learning methods in NLP. Topics covered include feedforward neural nets as applied to NLP and deep networks for NLP applications. Class reviews language structure and studies context free grammars, dependency parsing, semantic role labeling along with applications such sentiment classification and information extraction. Offered by Info Sciences & Technology. May not be repeated for credit.
Nlp With Deep Learning
Host University
George Mason University
Semester
Fall 2024
Course Number
AIT 726 010
Credits
3
Discipline
Computer Engineering
Instructor
Heidari, Maryam (mheidari@gmu.edu)
Times and Days
Asynchronous
Course Information
Prerequisites
Python programming. Statistics or probability. Machine learning.