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A Novel Question Answering System for Albanian Language

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Advances in Internet, Data & Web Technologies (EIDWT 2018)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 17))

Abstract

The volume of unstructured data is constantly growing, drawing the attention of the research community toward Natural Language Processing tasks. Recent advances in Information Extraction have led to the implementation of different systems and tools for Question Answering. These approaches are mainly language dependent as they need information about the language structure and syntax to perform well. This paper proposes an approach to extracting answers of factoid questions for a given text in Albanian Language. As far as we know, this is the first attempt of a Question Answering system for Albanian language. Experiments show that this is an effective solution for single domain documents.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Faculty of Information Technology, Polytechnic University of Tirana, Tirana, Albania

    Evis Trandafili, Elinda Kajo Meçe, Kristjan Kica & Hakik Paci

Authors
  1. Evis Trandafili
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  2. Elinda Kajo Meçe
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  3. Kristjan Kica
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  4. Hakik Paci
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Corresponding author

Correspondence to Evis Trandafili .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka-shi, Japan

    Leonard Barolli

  2. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

  3. Department of Computer Science, COMSATS Institute of Information Technology, Islamabad, Pakistan

    Nadeem Javaid

  4. Polytechnic University of Tirana, Tirana, Albania

    Evjola Spaho

  5. Polytechnic University of Tirana, Tirana, Albania

    Vladi Kolici

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Trandafili, E., Meçe, E.K., Kica, K., Paci, H. (2018). A Novel Question Answering System for Albanian Language. In: Barolli, L., Xhafa, F., Javaid, N., Spaho, E., Kolici, V. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 17. Springer, Cham. https://doi.org/10.1007/978-3-319-75928-9_46

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  • DOI: https://doi.org/10.1007/978-3-319-75928-9_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75927-2

  • Online ISBN: 978-3-319-75928-9

  • eBook Packages: EngineeringEngineering (R0)

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