Lectures

Subject to change.

Date Topics Readings Optional Advanced Readings
Fundamentals of supervised and unsupervised learning
Tu Aug 30 Introduction to Computational Linguistics
Th Sep 1 Text classification, Bag of words, Naive Bayes
Tu Sep 6 Supervised classification continued: perceptron SLP sections 7.1 and 7.4 (Optional: CIML Chap 3)
Th Sep 8 Supervised classification: Logistic Regression
Tu Sep 13 Word Sense Disambiguation WSD Survey (Navigli 2009)
Th Sep 15 Unsupervised Learning, Expectation Maximization Collins' notes
Sequences
Tu Sep 20 Language Modeling, n-grams SLP chap 4 (Chen and Goodman 1998), esp. Kneser-Ney smoothing section
Th Sep 22 Neural Language Models Kyunghung Cho's lecture notes Sections 5.4-5.6
Th Sep 29 FSTs and Morphology Bender Ch2, David Chiang notes on FSA/FSTs5.7 and 6.3
Tu Oct 4 POS tagging and HMMs SLP 3, Ch8 and Ch9 (9.1-9.4)
Th Oct 6 HMMs and structured perceptron (Collins 2002)
Tu Oct 11
Exam 1
Trees
Th Oct 13 Syntax and Grammars Bender Ch7
Tu Oct 18 PCFGs Collins' notes
Th Oct 20 Dependency Parsing Kuebler et al. Ch2 McDonald and Nivre 2007
Tu Oct 25 More Dependency Parsing Kuebler et al. Ch3 Goldberg and Nivre 2012
Meaning
Th Oct 27 Computational Semantics, Compositionality Levy's notes
Tu Nov 1 Marine at EMNLP; work on P2!
Th Nov 3 More Compositional Semantics and Semantic Role Labeling SLP3 ch22
Tu Nov 8 Lexical Semantics, Distributional Semantics SLP3 ch15 Turney and Pantel 2010
Th Nov 10 Lexical Semantics, Dense Word Representations, Review (see Nov 8 for slides) SLP3 ch16 Levy and Goldberg 2014
Tu Nov 15
Exam 2
Application: Semantic Textual Similarity / Textual Inference
Th Nov 17 Alignment in Machine Translation Collins's notes
Tu Nov 22 Semantic Textual Similarity, more alignment STS16
Th Nov 24 Happy Thanksgiving!
Tu Nov 29 Neural seq2seq models, attention (NMT tutorial parts 2 & 3) BahdanauEtAl2014,Cho (Chap 6)
Th Dec 1 Lexical and Textual Entailment
Tu Dec 6 Perspectives and Social Impact Levesque13,Halevy09,Hovy16
Th Dec 8 P3 office hour in AVW3126 during lecture time

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