Natural Language Annotation for Machine Learning

Natural Language Annotation for Machine Learning

James Pustejovsky, Amber Stubbs


Create your personal average language education corpus for laptop studying. even if you’re operating with English, chinese language, or the other normal language, this hands-on e-book courses you thru a confirmed annotation improvement cycle—the strategy of including metadata for your education corpus to assist ML algorithms paintings extra successfully. You don’t want any programming or linguistics adventure to get started.

Using distinctive examples at each step, you’ll find out how the MATTER Annotation improvement Process is helping you Model, Annotate, Train, Test, Evaluate, and Revise your education corpus. you furthermore may get an entire walkthrough of a real-world annotation project.

  • Define a transparent annotation target earlier than accumulating your dataset (corpus)
  • Learn instruments for studying the linguistic content material of your corpus
  • Build a version and specification to your annotation project
  • Examine the several annotation codecs, from easy XML to the Linguistic Annotation Framework
  • Create a most advantageous corpus that may be used to coach and try out ML algorithms
  • Select the ML algorithms that might technique your annotated data
  • Evaluate the attempt effects and revise your annotation task
  • Learn how one can use light-weight software program for annotating texts and adjudicating the annotations

This booklet is an ideal better half to O’Reilly’s Natural Language Processing with Python.

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