Lectures

Dates	Module	Main Topics and Slides	Readings
8/29, 8/30, 9/4	1: Introduction	Introduction, Modeling Grammaticality, English Grammar; (CFG exercise)	J&M chapter 1, 5.1-5.2, 12.1-12.2
9/6, 9/9, 9/11	2: Language models	Probability basics, Language models, N-grams	J&M chapter 4.1-4.7
9/13, 9/16, 9/18, 9/20	3: Text classification	Log-Linear Models (interactive visualization), Machine Learning Experiment Setup;	Dan Klein’s tutorial
9/23, 9/25, 9/27	4: Linguistics 101	Short Introduction to Linguistics, Survey of the Languages of the World	J&M chapter 7.1-7.3, 12.3-12.7
9/30, 10/2, 10/4	5: Tree Parsing	Parsing: Constituency and Dependency trees, CKY algorithm, Eisner algorithm, Dynamic programming; (CKY exercise)	J&M chapter 13.1-13.4, 14.1-14.7
10/7, 10/9, 10/11	6: Neural Networks	MLP/RNN, Word Embeddings, Seq2Seq - Lecture by Arya McCarthy
10/14	Research Talk	Guest Lecture by Pamela Shapiro: Word Embeddings for Morphologically-rich languages
10/16	Midterm Exam
10/21	Research Talk	Guest Lecture by Zach Wood-Doughty: NLP for Social Media
10/23, 10/25, 10/28	7: Sequence Tagging	Hidden Markov Models, Viterbi algorithm, EM algorithm; Jason Eisner’s Excel practice: 1, 2	J&M 3rd ed. chapter
10/30*	Research Talk	Guest Lecture by Dingquan Wang: Synthetic Data made to order: the case for Dependency Parsing
11/1, 11/4	8: Topic Models	Probabilistic Latent Semantic Indexing, Latent Dirichlet Allocation, Topic Model Extensions (Polylingual, Dynamic, Author-recipient, Labelled, Gaussian) - Lecture by Suzanna Sia	Probabilistic Topic Models ACM Review
11/8	Research Talk	Guest Lecture by Tom Lippincott: NLP for Digital Humanities
11/6, 11/11, 11/13	9: Finite State Transducers	FSA, FST, Semirings, Finite-State Morphology	J&M chapter 2, 3.1-3.7
11/15, 11/18, 11/20	10: Semantics	Distributional Semantics, WordNet, Semantic Role Labeling	J&M chapter 19.1-19.4, 20.1-20.3, 20.9
11/22	Research Talk	Guest Lecture by Sheng Zhang: Broad Coverage Semantic Parsing
12/2, 12/4	11: Structured Prediction	Global vs. Local models, Discriminative vs. Generative, CRF, Structured Perceptron/SVM
12/6	Review