Course Schedule Schedule is tentative. Check regularly for updates. DATE TOPIC READINGS ASSIGNMENT LINKS 1/14 Intro to CL Eisenstein Chapter 1 1/17 Two Cultures of Linguistics and Finite State Transducers Eisenstein Chapter 9.1 1/21 More Finite State Transducers and Naive Bayes Eisenstein Chapter 2.1-2.2 PA1 out 1/24 Neural Networks and Weighted Finite State Transducers 1/28 TBD 1/31 Sentiment Analysis 2/4 Generative and Discriminative Models; and Information Theory PA1 Due Ng and Jordan 2002 2/7 Gradient Descent 2/11 N-grams; Edit Distance; and Spelling Correction Gnoetry 2/14 Collocations and Hidden Markov Models Eisner paper and spreadsheet 2/17-2/21 Winter Break 2/25 Baum Welch Algorithm and POS Tagging Example of Baum-Welch 2/28 POS Tagging with HMMS HMM Notes 3/3 Quiz Review 3/6 Quiz? 3/10 Syntactic Theory (Constituent) Church and Patil 1982 3/13 CKY and Earley Algorithms 3/17 Statistical Parsing 3/20 Dependency Parsing 3/24 More Dependency Parsing and Vector Semantics Bengio et al. 2003 3/27 Distributional Semantics and Word Vectors 3/31 More Neural Networks 4/3 Even More Neural Networks 4/8-4/16 Spring Break 4/17 Window Classification and Recurrent Neural Networks 4/21 Fancy RNNs; Machine Translation; and Coreference Pascanu et al. 2013 4/24 Quiz Review 4/28 Final Exam (in class)
Schedule is tentative. Check regularly for updates.Schedule is tentative. Check regularly for updates.