Structured Prediction for Language and Other Discrete Data

11-763 | Spring 2018

Syllabus
Piazza

Homeworks

Structured Prediction for Language and Other Discrete Data | 11-763 | Spring 2018

At a Glance

  • Instructor: Taylor Berg-Kirkpatrick : tberg@cs.cmu.edu : GHC 6403 : Tuesdays (12pm to 1pm)
  • Instructor: Bhiksha Raj : bhiksha@cs.cmu.edu : GHC 6705 : By appointment
  • TA: Chaitanya Ahuja : cahuja@cs.cmu.edu : GHC 5719 : Thursdays (4pm to 5pm) or by appointment
  • TA: Simral Chaudhary : simralc@cs.cmu.edu
  • TA: Shubham Tripathi : shubhamt@cs.cmu.edu : LTI 5th floor kitchen area : Fridays (12pm to 1pm)
  • Location: NSH 3002
  • Time: Monday/Wednesday 4.30pm - 5:50pm
  • Textbook: Noah A. Smith, Linguistic Structure Prediction
  • Syllabus subject to substantial change!

Syllabus

DateTopicBookFurther ReadingsLecture Slides
Jan 17 Introduction 1
none [pdf]
Jan 22 Introduction 2
none
Jan 24 HMM review
none [pdf]
Jan 29 Decoding
none [pdf]
Jan 31 Recitation / Questions (Chaitanya)
Inference (Prof. Taylor)
none [pdf]
[pdf]
Feb 5 Multi Document Summarization
none [pdf]
Feb 7 Approches to Inference
none [pdf]
Feb 12 Probability
LSP Ch. 2 [pdf]
Feb 14 Natural Language Parsing with Context-Free Grammars
none [pdf]
[pdf]
Feb 19 Natural Language Dependency Parsing
none [pdf]
Feb 21 Soft Inference
LSP Ch. 5 [pdf]
Feb 26 Soft Inference 2
none [pdf]
Feb 28 Recitation 2 by Chaitanya
none [pdf]
Mar 7 MBR Decoding
none [pdf]
Mar 19 Approximate Inference - Local Search and MCMC
none [pdf]
Mar 26 Lagrangian Relaxation
none [pdf]
Mar 28 Conditional Random Fields
LSP Ch. 3.3 [pdf]
Apr 2 Experimentation and Empirical Risk Minimization
none [pdf]
[pdf]
Apr 4 Learning Generative Models
none
Apr 9 Expectation Maximization
none [pdf]
[pdf]
Apr 11 Structure and Support Vector Machines
none [pdf]
Apr 16 Neural Networks for structured prediction 1
none
Apr 18 Neural Networks for structured prediction 2
none
Apr 23 Unsupervised Learning with Features
none
Apr 25 Neural CRF (Chaitanya)
none [pdf]
Apr 30 Neural Sequence Models - CTC
none
May 2 TBA
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.