CSC666 Artificial Intelligence Methods for Natural Language Processing

[3–0, 3 cr.]

This course covers word vector representations, embeddings, syntax parsing, vector space modeling, dimensionality reduction, speech tagging, text classification, sentiment analysis, window-based neural networks, recurrent neural networks, long-short-term-memory models, recursive neural networks, convolutional neural networks.

Note: This course has not been taught since Fall 2021 and will not be taught during the academic year 20234-2025.