Natural language annotation for machine learning

著者

• Pustejovsky, J. (James)
• Stubbs, Amber

書誌事項

Natural language annotation for machine learning

James Pustejovsky and Amber Stubbs

O'Reilly, 2012

注記

Includes bibliographical references (p.305-315) and index

"October 2012: First Edition"--T.p. verso

内容説明・目次

内容説明

Create your own natural language training corpus for machine learning. This example-driven book walks you through the annotation cycle, from selecting an annotation task and creating the annotation specification to designing the guidelines, creating a "gold standard" corpus, and then beginning the actual data creation with the annotation process. 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. This book is a perfect companion to O'Reilly's Natural Language Processing with Python, which describes how to use existing corpora with the Natural Language Toolkit.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BB11682581
• ISBN:
  • 9781449306663
• LCCN: 2012289691
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Sebastopol, CA
• ページ数/冊数: xiv, 326 p.
• 大きさ: 24 cm
• 分類:
  • LCC : QA76.9.N38
  • DC23 : 006.35
• 件名:
  • LCSH : Natural language processing (Computer science)
  • LCSH : Corpora (Linguistics) -- Data processing
  • LCSH : Machine learning