Course Information

In this course, you will create your own natural language training corpus for machine learning. This course guides you through the process of adding metadata to your training corpus to help ML algorithms work more efficiently.  Using detailed examples at every step, you’ll learn how the MATTER Annotation Development Process helps you Model, Annotate, Train, Test, Evaluate, and Revise your training corpus. You also get a complete walkthrough of a real-world annotation project.  

  • Define a clear annotation goal before collecting your dataset (corpus)
  • Learn tools for analyzing the linguistic content of your corpus
  • Build a model and specification for your annotation project
  • Examine the different annotation formats, from basic XML to the Linguistic Annotation Framework
  • Create a gold standard corpus that can be used to train and test ML algorithms
  • Select the ML algorithms that will process your annotated data
  • Evaluate the test results and revise your annotation task.

Course Details

Time: Tuesday, Friday. 11:00-12:20 pm
this is a test for just basic 
Location: Abelson 239

Instructor: Professor James Pustejovsky
258 Volen Center
Office Hours: MW 2:30-3:30 pm

Teaching Assistant: John Vogel
110 Volen Center
Office Hours: By appointment

Required Text:
James Pustejovsky and Amber Stubbs
O'Reilly Publishers

Recent Announcements

  • Feature Selection I've posted several articles on feature selection and discovery, as well as the slides that will be used next week for this topic. -James
    Posted Apr 9, 2013, 11:44 AM by James Pustejovsky
  • Sketch Engine I've set up accounts on Sketch Engine for each group in the class. I'll mail you the username/password for access. Here's the login address:    https://the ...
    Posted Feb 12, 2013, 8:24 AM by James Pustejovsky
  • Slides are Up! Lecture 1 slides can be found on the "Lectures" page. The paper associated with Dr. Verhagen's talk tomorrow is also downloadable from that page too. 
    Posted Jan 17, 2013, 1:39 PM by James Pustejovsky
  • Welcome! This will be an exciting class and I'm looking forward to seeing what your annotation projects will turn out to be. I will be posting ideas for annotation efforts ...
    Posted Jan 17, 2013, 1:38 PM by James Pustejovsky
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