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Towards Multilingual Event Extraction Evaluation: A Case Study for the Czech Language

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F15%3A43927662" target="_blank" >RIV/49777513:23520/15:43927662 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Towards Multilingual Event Extraction Evaluation: A Case Study for the Czech Language

  • Original language description

    This paper presents a multilingual corpus of news, annotated with event metadata information. The events in our corpus are from the domain of violence, natural and man-made disasters. The main goal of the corpus is automatic evaluation of event detectionand extraction systems in different languages. As a use case, we take a rule-based event extraction system, extend it to cover a new language, Czech in our case, and evaluate it on the corpus. We explain what needs to be done to cover a new language, especially learning domain-specific dictionaries and event extraction patterns. The evaluation of the Czech system can be viewed as a starting point for further research into the evaluation of multilingual event extraction systems, which is an important stage during the development of such systems. The comparison of the performance for the Czech and English systems indicates the importance for multilingual event extraction evaluation

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING'2015

  • ISBN

  • ISSN

    1313-8502

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    627-635

  • Publisher name

    INCOMA Ltd.

  • Place of publication

    Shoumen, Bulgaria

  • Event location

    hissar, Bulharsko

  • Event date

    Sep 7, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article