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Combining Neural and Knowledge-Based Approaches to Named Entity Recognition in Polish

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Artificial Intelligence and Soft Computing (ICAISC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11508))

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Abstract

Named entity recognition (NER) is one of the tasks in natural language processing that can greatly benefit from the use of external knowledge sources. We propose a named entity recognition framework composed of knowledge-based feature extractors and a deep learning model including contextual word embeddings, long short-term memory (LSTM) layers and conditional random fields (CRF) inference layer. We use an entity linking module to integrate our system with Wikipedia. The combination of effective neural architecture and external resources allows us to obtain state-of-the-art results on recognition of Polish proper names. We evaluate our model on the data from PolEval 2018 (http://2018.poleval.pl/) NER challenge on which it outperforms other methods, reducing the error rate by 22.4% compared to the winning solution.

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Notes

  1. 1.

    https://sjp.pl.

  2. 2.

    https://github.com/sdadas/wiki-mapper.

  3. 3.

    https://www.wikipedia.org, https://babelnet.org, https://wiki.dbpedia.org.

  4. 4.

    https://en.wikipedia.org/wiki/SemEval.

  5. 5.

    https://github.com/morfologik/morfologik-stemming.

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Author information

Authors and Affiliations

  1. National Information Processing Institute, Warsaw, Poland

    Sławomir Dadas

Authors
  1. Sławomir Dadas
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Correspondence to Sławomir Dadas .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Częstochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Częstochowa, Poland

    Rafał Scherer

  3. Częstochowa University of Technology, Częstochowa, Poland

    Marcin Korytkowski

  4. University of Alberta, Edmonton, AB, Canada

    Witold Pedrycz

  5. AGH University of Science and Technology, Kraków, Poland

    Ryszard Tadeusiewicz

  6. University of Louisville, Louisville, KY, USA

    Jacek M. Zurada

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Dadas, S. (2019). Combining Neural and Knowledge-Based Approaches to Named Entity Recognition in Polish. In: Rutkowski, L., Scherer, R., Korytkowski, M., Pedrycz, W., Tadeusiewicz, R., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2019. Lecture Notes in Computer Science(), vol 11508. Springer, Cham. https://doi.org/10.1007/978-3-030-20912-4_4

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  • DOI: https://doi.org/10.1007/978-3-030-20912-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20911-7

  • Online ISBN: 978-3-030-20912-4

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