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Maximum Entropy Named Entity Recognition for Czech Language

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F11%3A43898562" target="_blank" >RIV/49777513:23520/11:43898562 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Maximum Entropy Named Entity Recognition for Czech Language

  • Original language description

    Named Entity Recognition (NER) is an important preprocessing tool for many Natural Language Processing tasks like Information Retrieval, Question Answering or Machine Translation. This paper is focused on NER for Czech language. The proposed NER is basedon knowledge and experiences acquired on other languages and adapted for Czech. Our recognizer outperforms the previously introduced recognizers for Czech. The article is also focused on the use of semantic spaces for NER. Although no significant improvement was yet achieved in this way, we believe that the research is worth of sharing.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Text, Speech and Dialogue 2011

  • ISBN

    978-3-642-23537-5

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    203-210

  • Publisher name

    Springer

  • Place of publication

    Berlin

  • Event location

    Plzeň

  • Event date

    Sep 1, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article