Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series

@article{Rizzo2017LessonsLF,
  title={Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series},
  author={Guiseppe Rizzo and Bianca Pereira and Andrea Varga and Marieke van Erp and Amparo Elizabeth Cano},
  journal={Semantic Web},
  year={2017},
  volume={8},
  pages={667-700}
}
The large number of tweets generated daily is providing decision makers with means to obtain insights into recent events around the globe in near real-time. The main barrier for extracting such insights is the impossibility of manual inspection of a diverse and dynamic amount of information. This problem has attracted the attention of industry and research communities, resulting in algorithms for the automatic extraction of semantics in tweets and linking them to machine readable resources… CONTINUE READING

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