Schedule is tentative. Check regularly for updates. Readings beginning with “E” are from Eisenstein’s Natural Language Processing, while readings beginning with “JM” are from Jurafsky and Martin’s Speech and Language Processing.
| DATE | TOPIC | READINGS | ASSIGNMENT | LINKS |
| 1/14 | Intro to CL | E1 | ||
| 1/17 | Two Cultures of Linguistics and Finite State Transducers | E9.1 | ||
| 1/21 | More Finite State Transducers and Naive Bayes | E2.1-2.2 | PA1 out | |
| 1/24 | More Naive Bayes and Generative and Discriminative Models | JM4 | Ng and Jordan 2002 | |
| 1/28 | Logistic Regression | E2.3-2.6;4.1;4.3-4.4 | ||
| 1/31 | Stochastic Gradient Descent and Sentiment Analysis | JM5 | ||
| 2/4 | Neural Networks | E3.1-3.3 | PA1 Due; HW1 out | Kleene 1951 |
| 2/7 | Lab: Naive Bayes and Logistic Regression | PA2 out | ||
| 2/11 | More Neural Networks and Computation Graphs | JM7 | ||
| 2/14 | More Computation Graphs and N-grams | E6.1-6.2;6.4-6.5 | HW1 Due | |
| 2/17-2/21 | Winter Break | |||
| 2/25 | More N-grams | JM3 | PA2 Due 2/27; HW2 out 2/27 | |
| 2/28 | More N-grams and Hidden Markov Models | E7.1-7.4;8.1 | ||
| 3/3 | POS Tagging with HMMs | JM8;A | ||
| 3/6 | Quiz | PA3 out | ||
| 3/10 | Review of Neural Networks | E6.3;7.6 | HW2 Due | |
| 3/13 | RNNs and LSTMs | JM9 | ||
| 3/17 | Syntactic Theory (Constituent) | E9.2;11.1 | ||
| 3/20 | Intro Parsing and CKY Algorithm | E10.1-10.2 | PA3 Due 3/22; PA4 out | |
| 3/24 | Spring Break | |||
| 3/27 | Earley Algorithm and Statistical Parsing | E10.3-10.4 | HW3 out | |
| 3/31 | More Statistical Parsing and Dependency Parsing | E11.2-11.4 | ||
| 4/3 | More Dependency Parsing and Vector Semantics | E14.1-14.3 | PA4 Due; PA5 out | |
| 4/7-4/10 | Passover Break | |||
| 4/14 | Distributional Semantics and Word Vectors | HW3 Due | ||
| 4/17 | TBD | |||
| 4/21 | Machine Translation and Coreference | Pascanu et al. 2013 | ||
| 4/24 | TBD | |||
| 4/28 | TBD | PA5 Due |