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Building Evaluation Dataset for Textual Entailment in Czech

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00057949" target="_blank" >RIV/00216224:14330/12:00057949 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Building Evaluation Dataset for Textual Entailment in Czech

  • Original language description

    Recognizing textual entailment (RTE) is a subfield of natural language processing (NLP). Currently several RTE systems exist in which some of the subtasks are language independent but some are not. Moreover, large datasets for evaluation are prepared almost exclusively for English language. In this paper we describe methods for obtaining test dataset for RTE in Czech. We have used methods for extracting facts from texts based on corpus templates as well as syntactic parser. Moreover, we have used reading comprehension tests for children and students. The main contribution of this article is the classification of ?difficulty levels? for particular RTE questions.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2012

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Sixth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2012

  • ISBN

    9788026303138

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    53-58

  • Publisher name

    Tribun EU

  • Place of publication

    Brno

  • Event location

    Karlova Studánka

  • Event date

    Dec 7, 2012

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article