About: Building Evaluation Dataset for Textual Entailment in Czech     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
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.
  • 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. (en)
Title
  • Building Evaluation Dataset for Textual Entailment in Czech
  • Building Evaluation Dataset for Textual Entailment in Czech (en)
skos:prefLabel
  • Building Evaluation Dataset for Textual Entailment in Czech
  • Building Evaluation Dataset for Textual Entailment in Czech (en)
skos:notation
  • RIV/00216224:14330/12:00057949!RIV13-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I, P(GAP401/10/0792), P(LM2010013), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 125668
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/12:00057949
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • textual entailment; evaluation data set; Czech language; paraphrasing (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [01392ED7CAE0]
http://linked.open...v/mistoKonaniAkce
  • Karlova Studánka
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • Sixth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2012
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Nevěřilová, Zuzana
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Tribun EU
https://schema.org/isbn
  • 9788026303138
http://localhost/t...ganizacniJednotka
  • 14330
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 47 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software