We propose a new, simple model for the automatic induction of selectional preferences, using corpus-based semantic similarity metrics. Focusing on the task of semantic role labeli...
Background: Several semantic similarity measures have been applied to gene products annotated with Gene Ontology terms, providing a basis for their functional comparison. However,...
Catia Pesquita, Daniel Faria, Hugo P. Bastos, Ant&...
Abstract. We describe a semantic clustering method designed to address shortcomings in the common bag-of-words document representation for functional semantic classification tasks....
In this paper, we present an AUC (i.e., the Area Under the Curve of Receiver Operating Characteristics (ROC)) maximization based learning algorithm to design the classifier for ma...
Model-based design methods, and model-based architectures, have gained adoption in authoring applications for the WWW. This is further reinforced by the increasing visibility of t...
Cristiano Rocha, Daniel Schwabe, Marcus Poggi de A...