From the Computer Science Department blog:

James Pustejovsky and his student Amber Stubbs have a new book “Natural Language Annotation for Machine Learning” out from O’Reilly Books and Media: “Systems exist for analyzing existing corpora, but making a new corpus can be extremely complex. To help you build a foundation for your own machine learning goals, this easy-to-use guide includes case studies that demonstrate four different annotation tasks in detail. You’ll also learn how to use a lightweight software package for annotating texts and adjudicating the annotations.”