We describe a boosting-based supervised learning approach to the "Multi-Way Classification of Semantic Relations between Pairs of Nominals" task #8 of SemEval-2. Participants were asked to determine which relation, from a set of nine relations plus "Other", exists between two nominals, and also to determine the roles of the two nominals in the relation. Our participation has focused, rather than on the choice of a rich set of features, on the classification model adopted to de- termine the correct assignment of relation and roles.

ISTI@SemEval-2 Task 8: boosting-based multiway relation classification

Esuli A;Sebastiani F
2010

Abstract

We describe a boosting-based supervised learning approach to the "Multi-Way Classification of Semantic Relations between Pairs of Nominals" task #8 of SemEval-2. Participants were asked to determine which relation, from a set of nine relations plus "Other", exists between two nominals, and also to determine the roles of the two nominals in the relation. Our participation has focused, rather than on the choice of a rich set of features, on the classification model adopted to de- termine the correct assignment of relation and roles.
2010
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-1-932432-70-1
Information Search and Retrieval
Natural Language Processing
Experimental evaluation
Information Extraction
Relation extraction
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/63155
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