Ensemble Learning of Named Entity Recognition Algorithms using Multilayer Perceptron for the Multilingual Web of Data

@inproceedings{Speck2017EnsembleLO,
  title={Ensemble Learning of Named Entity Recognition Algorithms using Multilayer Perceptron for the Multilingual Web of Data},
  author={Ren{\'e} Speck and Axel-Cyrille Ngonga Ngomo},
  booktitle={K-CAP},
  year={2017}
}
Implementing the multilingual Semantic Web vision requires transforming unstructured data in multiple languages from the Document Web into structured data for the multilingual Web of Data. We present the multilingual version of FOX, a knowledge extraction suite which supports this migration by providing named entity recognition based on ensemble learning for five languages. Our evaluation results show that our approach goes beyond the performance of existing named entity recognition systems on… CONTINUE READING

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  • In our best run, we outperform the state of the art by a gain of 32.38% F1-Score points on a Dutch dataset.

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