The need to bridge between the unstructured data on the Document Web and the structured data on the Web of Data has led to the development of a considerable number of annotation tools. However, these tools are hard to compare due to the diversity of data sets and measures used for evaluation. We will demonstrate GERBIL, an evaluation framework for semantic entity annotation that provides developers, end users and researchers with easy-to-use interfaces for the agile, finegrained and uniform evaluation of annotation tools on 11 different data sets within 6 different experimental settings on 6 different measures.
CITATION STYLE
Usbeck, R., Röder, M., & Ngonga Ngomo, A. C. (2015). Evaluating entity annotators using GERBIL. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9341, pp. 159–164). Springer Verlag. https://doi.org/10.1007/978-3-319-25639-9_31
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