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Automating Event Recognition for SMT Systems

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Computational Collective Intelligence

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9329))

Abstract

Event Named entity Recognition (NER) is different from most past research on NER in Arabic texts. Most of the effort in named entity recognition focused on a specific domains and general classes especially the categories; Organization, Location and Person. In this work, we build a system for Event named entities annotation and recognition. To reach our goal we combined between linguistic resources and tools. Our method is fully automatic and aims to ameliorate the performance of our machine translation system.

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Author information

Authors and Affiliations

  1. Faculty of Sciences of Monastir, Monastir, Tunisia

    Emna Hkiri, Souheyl Mallat, Mohsen Maraoui & Mounir Zrigui

Authors
  1. Emna Hkiri
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  2. Souheyl Mallat
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  3. Mohsen Maraoui
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  4. Mounir Zrigui
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Corresponding author

Correspondence to Emna Hkiri .

Editor information

Editors and Affiliations

  1. Universidad Complutense de Madrid, Madrid, Spain

    Manuel Núñez

  2. Wrocław University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  3. Computer Science Department, Universidad Autónoma De Madrid, Madrid, Spain

    David Camacho

  4. Wrocław University of Technology, Wroclaw, Poland

    Bogdan Trawiński

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© 2015 Springer International Publishing Switzerland

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Hkiri, E., Mallat, S., Maraoui, M., Zrigui, M. (2015). Automating Event Recognition for SMT Systems. In: Núñez, M., Nguyen, N., Camacho, D., Trawiński, B. (eds) Computational Collective Intelligence. Lecture Notes in Computer Science(), vol 9329. Springer, Cham. https://doi.org/10.1007/978-3-319-24069-5_47

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  • DOI: https://doi.org/10.1007/978-3-319-24069-5_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24068-8

  • Online ISBN: 978-3-319-24069-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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