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Machine Translation (MT) systems are evaluated and debugged using the BLEU automated metric. However, the current community implementation of BLEU is not ideal for MT system developers and researchers since it only produces textual information. I present a novel tool called iBLEU that organizes BLEU scoring information in a visual and easy-to-understand manner, making it easier for MT system developers...
The problem of semantic similarity across heterogeneous geospatial data sources continues to attract interest. Semantic similarity across data sources typically involves 1:1 matching of attributes and their instances between tables. Using clustering methods, three distinct challenges remain unaddressed. First, many clustering algorithms rely only on one instance property. Second, a consistent score...
Modern search engines provide users with suggested query completions. These search suggestions are often ambiguous in nature and could refer to any number of homonyms. Previously we used a static ontology built from data in Wikipedia to address this issue. Here, we present a method for dynamically building an ontology of "famous people" based on mining the suggested completions of a search...
As the number and sophistication of on-line applications increase, there is a growing concern on how access to sensitive resources (e.g., personal health records) is regulated. Since ontologies can support the definition of fine-grained policies as well as the combination of heterogeneous policies, semantic technologies are expected to play an important role in this context. But understanding the...
In this paper, we describe the PURSUIT Corpus -- an annotated corpus of geospatial path descriptions in spoken natural language. PURSUIT includes the spoken path descriptions along with a synchronized GPS track of the path actually taken. Additionally, we have manually annotated geospatial entity mentions in PURSUIT, mapping them onto point entries in several geographic information system databases...
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