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A Hybrid Approach for Entity Recognition and Linking

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Semantic Web Evaluation Challenges (SemWebEval 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 548))

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Abstract

Numerous research efforts are tackling the entity recognition and entity linking tasks resulting in a large body of literature. One could roughly categorize the proposed approaches in two different strategies: linguistic-based and semantic-based methods. In this paper, we present our participation to the OKE challenge, where we experiment with a hybrid approach, which combines the strength of a linguistic-based method augmented by a high coverage in the annotation obtained by using a large knowledge base as entity dictionary. The main goal of this hybrid approach is to improve the extraction and recognition level to get the best recall in order to apply a pruning step. On the training set, the results are promising and the breakdown figures are comparable with the state of the art performance of top ranked systems. Our hybrid approach has been ranked first to the OKE Challenge on the test set.

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Notes

  1. 1.

    http://lucene.apache.org/.

  2. 2.

    http://wiki.dbpedia.org/services-resources/datasets/datasets2014.

  3. 3.

    https://dumps.wikimedia.org/enwiki/.

  4. 4.

    http://sweble.org/.

  5. 5.

    https://code.google.com/p/gwtwiki/.

  6. 6.

    https://github.com/Stratio/wikipedia-parser.

  7. 7.

    http://www.wsj.com.

  8. 8.

    http://persistence.uni-leipzig.org/nlp2rdf/ontologies/nif-core.

  9. 9.

    https://github.com/wikilinks/neleval.

  10. 10.

    https://gate.d5.mpi-inf.mpg.de/webaida/.

  11. 11.

    http://tagme.di.unipi.it/.

  12. 12.

    http://dbpedia-spotlight.github.io/demo/.

  13. 13.

    http://babelfy.org/.

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Acknowledgments

This work was partially supported by the EIT Digital 3cixty project and by French National Research Agency (ANR) within the WAVE Project, under grant number ANR-12-CORD-0027.

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Authors and Affiliations

  1. EURECOM, Sophia Antipolis, France

    Julien Plu, Giuseppe Rizzo & Raphaël Troncy

Authors
  1. Julien Plu
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  2. Giuseppe Rizzo
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  3. Raphaël Troncy
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Corresponding author

Correspondence to Julien Plu .

Editor information

Editors and Affiliations

  1. Inria, Sophia Antipolis, France

    Fabien Gandon

  2. INRIA Sophia-Antipolis Méditerranée, Sophia Antipolis, France

    Elena Cabrio

  3. Université Paris-Sorbonne, Paris, France

    Milan Stankovic

  4. École des Mines de Saint-Étienne, Saint-Étienne, France

    Antoine Zimmermann

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Plu, J., Rizzo, G., Troncy, R. (2015). A Hybrid Approach for Entity Recognition and Linking. In: Gandon, F., Cabrio, E., Stankovic, M., Zimmermann, A. (eds) Semantic Web Evaluation Challenges. SemWebEval 2015. Communications in Computer and Information Science, vol 548. Springer, Cham. https://doi.org/10.1007/978-3-319-25518-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-25518-7_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25517-0

  • Online ISBN: 978-3-319-25518-7

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