Cultural heritage data is always associated with inaccurate information and different types of ambiguities. For instance, names of persons, occupations or places mentioned in historical documents are not standardized and contain numerous variations. This article examines in detail various existing similarity functions and proposes a hybrid technique for the following task: among the list of pos...

Web archives have become a significant repository of our recent history and cultural heritage. Archival integrity and accuracy is a precondition for future cultural research. Currently, there are no quantitative or content-based tools that allow archivists to judge the quality of the Web archive captures. In this paper, we address the problems of detecting off-topic pages in Web archive collect...

In this work we present GOAL (Genetics for Ontology Alignments) a new approach to compute the optimal ontology alignment function for a given ontology input set. Although this problem could be solved by an exhaustive search when the number of similarity measures is low, our method is expected to scale better for a high number of measures. Our approach is a genetic algorithm which is able to wor...

Abstract Attention mechanisms have been incorporated into many neural network-based natural language processing (NLP) models. They enhance the ability of these models to learn and reason with long input texts. A critical part such is computation attention similarity scores between two elements texts using a score function. Given that different architectures, it difficult comparatively evaluate ...

-Image quality assessment (IQA) aims to establish generic metrics consistently with subjective evaluations using computational models. Recent phase congruency, which is a dimensionless, normalized feature of a local structure, is used as the structure similarity feature. This paper proposes a novel feature similarity (RMFSIM) index for full reference IQA based on monogenic signal theory. A mono...

We present in this paper our system developed for SemEval 2015 Shared Task 2 (2a English Semantic Textual Similarity, STS, and 2c Interpretable Similarity) and the results of the submitted runs. For the English STS subtask, we used regression models combining a wide array of features including semantic similarity scores obtained from various methods. One of our runs achieved weighted mean corre...