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Mexican International Conference on Artificial Intelligence

MICAI 2014: Human-Inspired Computing and Its Applications pp 51–61Cite as

Statistical Recognition of References in Czech Court Decisions

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 8856)

Abstract

We address the task of detection and classification of references in Czech court decisions, mainly we focus on references to other court decisions and acts. In addition, we are interested in detection of institutions that issued documents under consideration. We handle these references like entities in the task of Named Entity Recognition. We approach the task using machine learning methods, namely HMM and Perceptron algorithm and we report F-measure over 90% averaged over all entities. The results significantly outperform the systems published previously.

Keywords

  • Hide Markov Model
  • Resource Description Framework
  • Court Decision
  • Name Entity Recognition
  • Legal Text

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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  • DOI: 10.1007/978-3-319-13647-9_6
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Author information

Authors and Affiliations

  1. Institute of Formal and Applied Linguistics, Charles University in Prague, Malostranské nám. 25, 118 00, Praha 1, Czech Republic

    Vincent Kríž & Barbora Hladká

  2. Department of Software Engineering , Faculty of Mathematics and Physics, Charles University in Prague, Malostranské nám. 25, 118 00, Praha 1, Czech Republic

    Jan Dědek & Martin Nečaský

Authors
  1. Vincent Kríž
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  2. Barbora Hladká
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  3. Jan Dědek
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  4. Martin Nečaský
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Editor information

Editors and Affiliations

  1. Centro de Investigación en Computación, Instituto Politécnico Nacional, Av. Juan Dios Bátiz s/n, Col. Nueva Industrial Vallejo, 07738, Mexico City, Mexico

    Alexander Gelbukh

  2. Área Académica de Computación y Electrónica, Carretera Pachuca-Tulancingo, Universidad Autónoma del Estado de Hidalgo, Km. 4.5, Col. Carboneras, Mineral de la Reforma, 42180, Hidalgo, Mexico

    Félix Castro Espinoza

  3. Facultad de ciencias, Universidad Autónoma Nacional de México, Ciudad Universitaria, México DF, Mexico

    Sofía N. Galicia-Haro

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Kríž, V., Hladká, B., Dědek, J., Nečaský, M. (2014). Statistical Recognition of References in Czech Court Decisions. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Human-Inspired Computing and Its Applications. MICAI 2014. Lecture Notes in Computer Science(), vol 8856. Springer, Cham. https://doi.org/10.1007/978-3-319-13647-9_6

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  • DOI: https://doi.org/10.1007/978-3-319-13647-9_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13646-2

  • Online ISBN: 978-3-319-13647-9

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