Class Schedule

Class Introduction (1/15/2019)

A Simple (?) Exercise: Predicting the Next Word in a Sentence (1/17/2019)

Distributional Semantics and Word Vectors (1/22/2019)

Convolutional Neural Nets for Text (1/24/2019)

Recurrent Networks for Sentence or Language Modeling (1/29/2019)

Efficiency Tricks for Neural Nets (1/31/2019)

Conditioned Generation (2/5/2019)

Attention (2/7/2019)

Sentence and Contextual Word Representations (2/12/2019)

Debugging Neural Nets (for NLP) (2/14/2019)

Search-based Structured Prediction (2/19/2019)

Reinforcement Learning (2/21/2019)

Structured Prediction with Local Independence Assumptions (2/26/2019)

Model Interpretation (2/28/2019)

Latent Random Variables (3/5/2019)

Adversarial Methods for Text (3/7/2019)

Spring Break -- No Class! (3/12/2019 and 3/14/2019)

Transition-based Parsing Models (3/19/2019)

Parsing with Dynamic Programs (3/21/2019)

Neural Semantic Parsing (3/26/2019)

Unsupervised and Semi-supervised Learning of Structure (3/28/2019)

Models of Dialog (4/2/2019)

Document-level Models (4/4/2019)

Learning from/for Knowledge Graphs (4/9/2019)

Spring Carnival -- No Class!! (4/11/2019)

Machine Reading w/ Neural Nets (4/16/2019)

Multi-task Multi-lingual Learning Models (4/18/2019)

Advanced Search Algorithms (4/23/2019)

TBD (4/25/2019)

Poster Presentations (4/30/2019 and 5/2/2019)