Natural language annotation for machine learning
Create your own natural language training corpus for machine learning. Whether you're working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle-the process of adding metadata to your training corpus to help ML algo...
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| Otros Autores: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Beijing ; Sebastopol, California :
O'Reilly
2013.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629638506719 |
| Sumario: | Create your own natural language training corpus for machine learning. Whether you're working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annotation development cycle-the process of adding metadata to your training corpus to help ML algorithms work more efficiently. You don't need any programming or linguistics experience to get started. Using detailed examples at every step, you'll learn how the MATTER Annotation Development Process helps you Model, Annotate, Train, Test, Evaluate, and Revise your training corpus. You also get a compl |
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| Notas: | "A guide to corpus-building for applications"--Cover. |
| Descripción Física: | 1 online resource (341 p.) |
| Bibliografía: | Includes bibliographical references (pages 305-315). |
| ISBN: | 9781449359768 9781306811095 9781449359775 9781449332693 |
