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Natural language annotation for machine learning / James Pustejovsky and Amber Stubbs

By: Pustejovsky, James [author]Contributor(s): Stubbs, Amber [co-author]Material type: Text

TextPublication details: Beijing : O'Reilly, c2013Description: xiv, 324 pages : illustrations ; 23 cmISBN: 9781449306663Subject(s): COMPUTER SCIENCE | NATURAL LANGUAGE PROCESSING (COMPUTERS)LOC classification: QA 76.9.N38 .P87 2013

Contents:

1. The Basics -- 2. Defining your goal and dataset -- 3. Corpus analytics -- 4. Building your model and specification -- 5. Applying and adopting annotation standards -- 6. Annotation and adjudication -- 7. Training : machine learning -- 8. Testing and evaluation -- 9. Revising and reporting -- 10. Annotation : TimeML -- 11. Automatic annotation : generating TimeML -- 12. Afterword : the future of annotation.

Summary: This book is intended as a resource for people who are interested in using computers to help process natural language.

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Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	LRC - Graduate Studies	National University - Manila	Gen. Ed. - CCIT	General Circulation	GC QA 76.9.N38 .P87 2013 (Browse shelf (Opens below))	c.1	Available		NULIB000009215

Includes bibliographical references and index.

This book is intended as a resource for people who are interested in using computers to help process natural language.

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