Named Entity Recognition in a Hungarian NL Based QA System

  • Domonkos Tikkl
  • P. Ferenc Szidarovszky
  • Zsolt T. Kardkovacs
  • Gábor Magyar
Conference paper


In WoW project our purpose is to create a complex search interface with the following features: search in the deep web content of contracted partners’ databases, processing Hungarian natural language (NL) questions and transforming them to SQL queries for database access, image search supported by a visual thesaurus that describes in a structural form the visual content of images (also in Hungarian). This paper primarily focuses on a particular problem of question processing task: the entity recognition. Before going into details we give a short overview of the project’s aims.


Entity Recognition Inflected Form Combinatory Categorical Grammar Natural Language Interface Natural Language Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    Androutsopoulos I, Ritchie GD, Thanisch P (1993) Masque/SQL — an Efficient and Portable Natural Language Query Interface for Relational Databases. Proc of lEAlAlE 93 Conference Edinburgh UKGoogle Scholar
  2. [2]
    Bergman MK (2001) The Deep Web: Surfacing Hidden Value. Journal of Electronic Publishing, no 7. Scholar
  3. [3]
    Cedermark P (2003) Swedish Noun and Adjective Morphology in a Natural Language Interface to Databases. Master Thesis Department of Linguistics Uppsala University SwedenGoogle Scholar
  4. [4]
    Chae J, Lee S (1998) Frame-Based Decomposition Method for Korean Natural Language Query Processing. International Journal of Computer Processing of Oriental Languages, no 11, pp. 213–232Google Scholar
  5. [5]
    Coheur L, Batista F, Paulo J (2003) JaVaLi!: Understanding Real Questions. Proc of the Student Workshop on Applied Natural Language Processing (EUROLAN 2003) Universitat HamburgGoogle Scholar
  6. [6]
    Filipe PP, Mamede NJ (2000) Databases and Natural Language Interfaces. Proc of 5th Jornada de Engenharia de Software e Bases de Dados (JISBD) Valladolid SpainGoogle Scholar
  7. [7]
    Grosz BJ, Appelt DE, Martin PA, Pereira FC (1987) Team: An Experiment in the Design of Transportable Natural-Language Interfaces. Artifical Intelligence, no 32, pp 173–243Google Scholar
  8. [11]
    Katz B, Lin JL (2002) Start and Beyond. Proc of World Multiconference on Systemics Cybernetics and Informatics (SCI02) vol XVI. Orlando FL USAGoogle Scholar
  9. [12]
    Katz B, Yuret D, Lin J, Felshin S, Schulman R, Ilik A (1998) Blitz: A Preprocessor for Detecting Context-Independent Linguistic Structures. Proc of the 5th Pacific Rim Conference on Artificial Intelligence (PRICAI’ 98). SingaporeGoogle Scholar
  10. [13]
    Katz B (1990) Using English for Indexing and Retrieving. In: Winston P, Shellard S (eds) Artificial Intelligence at MIT: Expanding Frontiers. Vol 1. MIT Press, pp 134–165Google Scholar
  11. [14]
    Lee H, Park JC (2002) Interpretation of Natural Language Queries for Relational Database Access with Combinatory Categorical Grammar. Int Journal of Computer Processing of Oriental Languages, no 15, pp 281–303Google Scholar
  12. [15]
    Meng X, Wang S (2001) Overview of a Chinese Natural Language Interface to Databases: Nchiql. International Journal of Computer Processing of Oriental Languages, no 14, pp 213–232Google Scholar
  13. [16]
    Popescu AM, Armanasu A, Etzioni 0, Ko D, Yates A (2004) Modern Natural Language Interfaces to Databases: Composing Statistical Parsing with Semantic Tractability. Proc of the International Conference on Computational Linguistics (COLING04). Geneva SwitzerlandGoogle Scholar
  14. [17]
    Popescu AM, Etzioni 0, Kautz H (2003) Towards a Theory of Natural Language Interfaces to Databases. Proc of the 8th International Conference on Intelligent User Interfaces (IUI03). Miami FL USAGoogle Scholar
  15. [18]
    Rangel RAP, Gelbukh AF, Barbosa JJG, Ruiz EA, Mejía AM, Sánchez APD (2002) Spanish Natural Language Interface for a Relational Database Querying System. Proc of TSD 2002. Vol 2448 of Lecture Notes in Computer Science. Springer-Verlag Brno Czech RepublicGoogle Scholar
  16. [19]
    Reis P, Matias J, Mamede N (1997) Edite: A Natural Language Interface to Databases — a New Perspective for an Old Approach. Proc of ENTER’97 Information and Communication Technologies in Tourism. Edinburgh UKGoogle Scholar
  17. [20]
    Stratica N, Kosseim L, Desai BC (2002) A Natural Language Processor for Querying Cindi. Proc of SSGRR 2002. L’Aquila ItalyGoogle Scholar
  18. [21]
    Tikk D, Kardkovács ZT, Andriska Z, Magyar G, Babarczy A, Szakadát I (2004) Natural Language Question Processing for Hungarian Deep Web Searcher. Proc of IEEE International Conference on Computational Cybernetics (ICCC04). Wien AustriaGoogle Scholar
  19. [22]
    Warren D, Pereira F (1982) An Efficient Easily Adaptable System for Interpreting Natural Language Queries. Computational Linguistics, no 8, pp 110–122Google Scholar

Copyright information

© Springer Science-Business Media, LLC 2006

Authors and Affiliations

  • Domonkos Tikkl
    • 1
  • P. Ferenc Szidarovszky
    • 2
  • Zsolt T. Kardkovacs
    • 1
  • Gábor Magyar
    • 1
  1. 1.Department of Telecommunications & Media InformaticsUniversity of Technology and EconomicsBudapestHungary
  2. 2.Szidarovszky Ltd.Hungary

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