This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
— We aim to perform robust and fast vision-based localization using a pre-existing large map of the scene. A key step in localization is associating the features extracted from t...
This paper presents an approach for the integration of domain related elements and operational semantics into collaborative environments based on visual languages. This integratio...
Niels Pinkwart, Heinz Ulrich Hoppe, Katrin Ga&szli...
Data reduction plays an important role in machine learning and pattern recognition with a high-dimensional data. In real-world applications data usually exists with hybrid formats...
This paper presents a search architecture that combines classical search techniques with spread activation techniques applied to a semantic model of a given domain. Given an ontol...
Cristiano Rocha, Daniel Schwabe, Marcus Poggi de A...