Papers by CLAUDIA PILAR BECERRA
Proceedings of the 6th International Workshop on Semantic Evaluation (SemEval 2012), 2012
This paper presents a novel approach for building adaptive similarity functions based on cardinal... more This paper presents a novel approach for building adaptive similarity functions based on cardinality using machine learning. Unlike current approaches that build feature sets using similarity scores, we have developed these feature sets with the cardinalities of the commonalities and differences between pairs of objects being compared. This approach allows the machine-learning algorithm to obtain an asymmetric similarity function suitable for directional judgments. Besides using the classic set cardinality, we used soft cardinality to ...
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Papers by CLAUDIA PILAR BECERRA