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Named Entities as New Features for Czech Document Classification

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43922596" target="_blank" >RIV/49777513:23520/14:43922596 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-642-54903-8_35" target="_blank" >http://dx.doi.org/10.1007/978-3-642-54903-8_35</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-642-54903-8_35" target="_blank" >10.1007/978-3-642-54903-8_35</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Named Entities as New Features for Czech Document Classification

  • Original language description

    This paper is focused on automatic document classification. The results will be used to develop a real application for the Czech News Agency. The main goal of this work is to propose new features based on the Named Entities (NEs) for this task. Five different approaches to employ NEs are suggested and evaluated on a Czech newspaper corpus. We show that these features do not improve significantly the score over the baseline word-based features. The classification error rate improvement is only about 0.42% when the best approach is used.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/ED1.1.00%2F02.0090" target="_blank" >ED1.1.00/02.0090: NTIS - New Technologies for Information Society</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

    Computational Linguistics and Intelligent Text Processing

  • ISBN

    978-3-642-54902-1

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    417-427

  • Publisher name

    Springer

  • Place of publication

    Heidelberg

  • Event location

    Kathmandu

  • Event date

    Apr 6, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article