Structured Prediction for Language and Other Discrete Data

11-763 | Fall 2015

Syllabus
Policy
Homeworks

Structured Prediction for Language and Other Discrete Data | 11-763 | Fall 2015

Homework 1 is out

At a Glance

Syllabus

DateTopicBookFurther Readings
1 Sep 01 NO CLASS (LORELEI)
none
2 Sep 03 NO CLASS (LORELEI)
none
3 Sep 08 Introduction / HMM review
[pdf]
none
4 Sep 10 Writing / HMM review 2
[pdf]
[pdf]
[pdf]
none
5 Sep 15 Sequence Labeling with the Structured Perceptron
[pdf]
none
7 Sep 17 Recitation / Questions (Kartik)
none
6 Sep 22 William Cohen Guest Lecture (EMNLP)
[pdf]
[readings]
8 Sep 24 Decoding
[pdf]
LSP Ch. 2
9 Sep 29 Parsing
[pdf]
none
10 Oct 01 Probability Distributions
[pdf]
none
11 Oct 06 Soft Inference
[pdf]
LSP Ch. 5
12 Oct 08 Soft Inference 2
[pdf]
none
13 Oct 13 MBR Decoding
[pdf]
none
14 Oct 15 Approximate Inference - Local Search and MCMC
[pdf]
none
15 Oct 20 Lagrangian Relaxation
[pdf]
none
16 Oct 22 Conditional Random Fields
[pdf]
LSP Ch. 3.3
17 Oct 27 Experimentation
[pdf]
none
18 Oct 29 Empirical Risk Minimization
[pdf]
none
19 Nov 03 Learning Generative Models
[pdf]
none
20 Nov 05 Kartik Guest Lecture - Spectral Methods
[pdf]
[demo]
none
21 Nov 10 Expectation Maximization
none
22 Nov 12 Margin based learning with cost functions
[pdf]
none
23 Nov 17 Neural Networks for structured prediction 1
[pdf]
none
24 Nov 19 Neural Networks for structured prediction 2
[pdf]
none
25 Nov 24 Unsupervised Learning with Features
none
26 Nov 26 THANKSGIVING
none
27 Dec 01 Edward Greffenstette guest lecture
[pdf]
none
28 Dec 03 Peer paper review clinic
none
29 Dec 08 Neural sequence models - RNNs and LSTMs
none
30 Dec 10 Neural Sequence Models - CTC
none

Creative Commons License Unless otherwise indicated, this content has been adapted from this course by Chris Dyer. Both the original and new content are licensed under a Creative Commons Attribution 3.0 Unported License.