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A System for Recognition of Named Entities in Greek

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Natural Language Processing — NLP 2000 (NLP 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1835))

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Abstract

In this paper, we describe work in progress for the development of a Greek named entity recognizer. The system aims at information extraction applications where large scale text processing is needed. Speed of analysis, system robustness, and results accuracy have been the basic guidelines for the system’s design. Pattern matching techniques have been implemented on top of an existing automated pipeline for Greek text processing and the resulting system depends on non-recursive regular expressions in order to capture different types of named entities. For development and testing purposes, we collected a corpus of financial texts from several web sources and manually annotated part of it. Overall precision and recall are 86% and 81% respectively.

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Author information

Authors and Affiliations

  1. Institute for Language and Speech Processing, Artemidos 6 & Epidavrou, 151 25, Athens, Greece

    Sotiris Boutsis, Iason Demiros, Voula Giouli, Harris Papageorgiou & Stelios Piperidis

  2. National Technical University of Athens, Greece

    Sotiris Boutsis & Stelios Piperidis

  3. Cambridge University, UK

    Maria Liakata

Authors
  1. Sotiris Boutsis
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  2. Iason Demiros
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  3. Voula Giouli
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  4. Maria Liakata
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  5. Harris Papageorgiou
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  6. Stelios Piperidis
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Editor information

Editors and Affiliations

  1. Computer Engineering Department and Computer Technology Institute, University of Patras, 26500, Patras, Greece

    Dimitris N. Christodoulakis

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© 2000 Springer-Verlag Berlin Heidelberg

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Boutsis, S., Demiros, I., Giouli, V., Liakata, M., Papageorgiou, H., Piperidis, S. (2000). A System for Recognition of Named Entities in Greek. In: Christodoulakis, D.N. (eds) Natural Language Processing — NLP 2000. NLP 2000. Lecture Notes in Computer Science(), vol 1835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45154-4_39

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  • DOI: https://doi.org/10.1007/3-540-45154-4_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67605-8

  • Online ISBN: 978-3-540-45154-9

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