Amber Stubbs

Amber Stubbs

Boston, Massachusetts

Areas of Expertise:

  • Annotation
  • Natural Language Processing
  • consulting
  • training
Amber Stubbs recently completed her Ph.D. in Computer Science at Brandeis University, and is currently a Postdoctoral Associate at SUNY Albany. Her dissertation focused on creating an annotation methodology to aid in extracting high-level information from natural language files, particularly biomedical texts. Her website can be found at http://amberstubbs.net

Natural Language Annotation for Machine Learning Natural Language Annotation for Machine Learning
by James Pustejovsky, Amber Stubbs
October 2012
Print: $39.99
Ebook: $33.99

Webcast: How to Develop Language Annotations for Machine Learning Algorithms
October 16, 2012
Text-based data mining and information extraction systems that make use of machine learning techniques require annotated datasets for training the algorithms. In this webcast we will discuss the steps involved in creating your own training corpus for...

"Natural Language Annotation for Machine Learning is not light reading. But it is well structured, well written and offers detailed examples. "
--Si Dunn, Sagecreek Productions

"I highly recommend it, particularly for developers who want to build their machine learning tool set. While you won't have a complete understanding of computer science when you are done with this book, you will equipped with most of the knowledge of programming that you will need to do most language processing tasks."
--David H., Book Bargains and Previews