Schedule

Subject to change. Hand in homeworks and projects here.

Date Topics Readings Due before class
Tu Sep 1 Introduction to Computational Linguistics
Th Sep 3 Morphology, finite state transducers 2-2.2; 3-3.4; Syllabus
Tu Sep 8 Language modeling, n-grams, smoothing 4-4.2, 4.4-4.5 HW1
Th Sep 10 Noisy channel models, automatic morphological disambiguation 3.5 3.9
Tu Sep 15 Supervised classification, perceptron, logistic regression HW2 (Sep 15 is Rosh Hashana; you may turn in HW2 on Sep 16 with no late penalty)
Th Sep 17 P1 lab
Tu Sep 22 Neural Networks CIML chap 8 (Optional: Chap 3 & 6 for more background, or Bengio et al. 2005 for neural nets experts)
Th Sep 24 Neural Language Models
Tu Sep 29 Part of Speech tagging, Hidden Markov Models 5.1-5.5 P1,HW3
Th Oct 1 Hidden Markov Models, Structured perceptron 6.2-6.4 (Optional: Collins 2002)
Tu Oct 6 Syntax and Grammars 12.1,12.2,12.7 HW4
Th Oct 8 Dependency parsing (Optional: Dependency parsing book)
Tu Oct 13 Dependency parsing: Transition-based HW5
Th Oct 15 Midterm
Tu Oct 20 Dependency parsing: Graph-based HW6
Th Oct 22 Constituency parsing 13.1-13.4, 14.1-14.6
Tu Oct 27 Introduction to Semantics 17.1 HW7
Th Oct 29 P2 lab
Tu Nov 3 Computational Semantics & Compositionality 18.1-18.2, 18.6 HW8
Th Nov 5 Lexical semantics: word senses, word relations 19.1-19.3
Tu Nov 10 Word Similarity & Distributional Semantics HW9
Th Nov 12 P2
Tu Nov 17 Recent Work in Distributional Semantics (Optional: see links in slides) P2
Th Nov 19 Semantic Roles & Multiword Expressions 20.9
Tu Nov 24 Wrap-up Semantics & P3 HW10
Th Nov 26 No class -- Happy thanksgiving!
Tu Dec 1 Machine Translation I
Th Dec 3 Deep Learning for Question Answering
Tu Dec 8 Machine Translation II
Th Dec 10 Wrap-up and final review P3 (Submit by Dec 11, 2pm)
Th Dec 17 Final exam (10:30am-12:30pm)

Web Accessibility