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Statistical Recognition of References in Czech Court Decisions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10289385" target="_blank" >RIV/00216208:11320/14:10289385 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Statistical Recognition of References in Czech Court Decisions

  • Original language description

    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. We handle these references like entities in the task of Named Entity Recognition. In addition, weare interested in detection of institutions that issued documents under consideration. Attributes like the applicability of law have been studied as well. We approach the task using machine learning methods, namely HMM and Perceptron algorithm. We report F-measure over 90% for each entity. The results significantly outperform the systems published previously.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/TA02010182" target="_blank" >TA02010182: Intelligent Library - INTLIB</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part I

  • ISBN

    978-3-319-13646-2

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    51-61

  • Publisher name

    Springer International Publishing

  • Place of publication

    Switzerland

  • Event location

    Tuxtla Gutiérrez, Chiapas, Mexico

  • Event date

    Nov 16, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article