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1. Learning to Learn Biological Relations from a Small Training Set.

Author

Alonso i Alemany, Laura and Bruno, Santiago

Abstract

In this paper we present different ways to improve a basic machine learning approach to identify relations between biological named entities as annotated in the Genia corpus. The main difficulty with learning from the Genia event-annotated corpus is the small amount of examples that are available for each relation type. We compare different ways to address the data sparseness problem: using the corpus as the initial seed of a bootstrapping procedure, generalizing classes of relations via the Genia ontology and generalizing classes via clustering. [ABSTRACT FROM AUTHOR]

Published
2009
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2. DIMENSIONES DE LOS MOTIVOS PARA LA PARTICIPACIÓN EN ACTIVIDADES FÍSICAS DE ESCOLARES DE 10-12 AÑOS DE MELILLA. ANÁLISIS DE LAS DIFERENCIAS EN FUNCIÓN DEL GÉNERO Y LA EDAD.

Author

J., Granda, I., Alemany, M., Montilla, A., Mingorance, and C., Barbero J.

Subjects
DIMENSIONS, PHYSICAL activity, PRIMARY education, AGE, GENDER
Abstract

Copyright of Motricidad: European Journal of Human Movement is the property of Asociacion Espanola de Ciencias del Deporte and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2011

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