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High-Precision Person Name Extraction from Turkish Texts Using Wikipedia

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Natural Language Processing and Information Systems (NLDB 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9103))

Abstract

In this paper, we focus on person name extraction from diverse text types in Turkish and have compiled a large set of person names from Turkish Wikipedia. After automated post-processing to clean and extend it, we have performed extraction experiments using this resource on data sets of considerable sizes and achieved high precision rates. Next, we have shown that the use of non-local dependencies together with this Wikipedia resource improves recall, and hence F-Measure, considerably. Finally, we have tested the contribution of the resource and the scheme based on non-local dependencies to the person name extraction performance of a full-fledged named entity recognizer.

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Author information

Authors and Affiliations

  1. TÜBİTAK Energy Institute, Ankara, Turkey

    Dilek Küçük

  2. Gazi University, Ankara, Turkey

    Doğan Küçük

Authors
  1. Dilek Küçük
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  2. Doğan Küçük
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Corresponding author

Correspondence to Dilek Küçük .

Editor information

Editors and Affiliations

  1. Technische Universität Darmstadt, Darmstadt, Germany

    Chris Biemann

  2. Universität Passau, Passau, Germany

    Siegfried Handschuh

  3. Universität Passau, Passau, Germany

    André Freitas

  4. University of Salford, Salford, United Kingdom

    Farid Meziane

  5. Conservatoire National des Arts et Métiers, Paris, France

    Elisabeth Métais

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Küçük, D., Küçük, D. (2015). High-Precision Person Name Extraction from Turkish Texts Using Wikipedia. In: Biemann, C., Handschuh, S., Freitas, A., Meziane, F., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2015. Lecture Notes in Computer Science(), vol 9103. Springer, Cham. https://doi.org/10.1007/978-3-319-19581-0_31

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  • DOI: https://doi.org/10.1007/978-3-319-19581-0_31

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19580-3

  • Online ISBN: 978-3-319-19581-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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