Schedule
| Topics | Assignments | ||
|---|---|---|---|
| 01/14 | Introduction | ex | quiz0 |
| 01/19 | Martin Luther King day | ||
| 01/21 | Maximum likelihood estimation | ex | quiz 1, sol |
| 01/26 | Probabilistic models | [ex](Probabilistic Models) | |
| 01/28 | Sequence likelihood | ex | quiz 2 |
| 02/02 | N-gram applications | hw 1 | |
| 02/04 | Naive Bayes Classification | ex | quiz 3 |
| 02/09 | Decoding strategies | ex | |
| 02/11 | Hidden Markov model | quiz 4 | |
| 02/16 | Viterbi algorithm | hw 2 | |
| 02/18 | Logistic regression | ex | quiz 5 |
| 02/23 | Feature representation | ||
| 02/25 | Snow day! | ||
| 03/02 | Review session | ||
| 03/04 | Midterm exam | ||
| 03/09 | Spring break | ||
| 03/11 | Spring break | ||
| 03/16 | Midterm review | ||
| 03/18 | Perceptron: binary | ||
| 03/23 | Perceptron: multi | ||
| 03/25 | Perceptron: averaging | quiz 6 | |
| 03/30 | Named entity recognition | hw 3 | |
| 04/01 | Vector Space Models | ex | quiz 7 |
| 04/06 | k-Nearest neighbor Algorithm | ||
| 04/08 | k-Means algorithm | ||
| 04/13 | Document categorization | hw 4 | |
| 04/15 | Distributional semantics | ex | quiz 8 |
| 04/20 | Guest lecture | ||
| 04/22 | Neural networks | ||
| 04/27 | Review session | ||
| 05/01 | Final exam |
