GERBIL – Benchmarking Named Entity Recognition and Linking Consistently

@inproceedings{Rder2017GERBILB,
  title={GERBIL – Benchmarking Named Entity Recognition and Linking Consistently},
  author={Michael R{\"o}der and Ricardo Usbeck and Axel-Cyrille Ngonga Ngomo},
  year={2017}
}
The ability to compare systems from the same domain is of central importance for their introduction into complex applications. In the domains of named entity recognition and entity linking, the large number of systems and their orthogonal evaluation w.r.t. measures and datasets has led to an unclear landscape regarding the abilities and weaknesses of the different approaches. We present GERBIL—an improved platform for repeatable, storable and citable semantic annotation experiments— and its… CONTINUE READING