Semantic hypergraph corpus SemCRO 1.0

  Avtorji

Vasić, Daniel ; et al.prikaži vse

Vasić, Daniel ; Žitko, Branko ; Gašpar, Angelina ; Ljubešić, Nikola ; Štrkalj Despot, Kristina ; Merkler, Danijela

  Identifikator vnosa

http://hdl.handle.net/11356/1377

 URL projekta

https://www.acnltutor.net/

 Demo URL

https://bitbucket.org/danielvasic/croatiangraphbrain

 Datum objave

2020-11-20

 Vrsta

corpus, text

 Velikost

184 sentences, 176 semanticUnits

 Jezik(i)

Croatian

 Opis

This corpus can be used to build and evaluate methods for extracting and presenting knowledge based on a semantic hypergraph. The corpus consists of 184 simple, complex and dependently complex sentences. All sentences are marked on the levels of tokenisation, sentence segmentation, morphosyntactic tagging, lemmatisation, syntactic dependencies, named entities, and semantic roles. This resource also includes, a representation of a subset of 176 sentences in the form of a semantic hypergraph that can be used to evaluate knowledge extraction methods for Croatian. The sentences used in this corpora are taken from the textbook: Hudeček, L., Mihaljević, M., Sršen, J. and Čamagajevac, S. (2017). Hrvatska Školska Gramatika. Zagreb: Institut za hrvatski jezik i jezikoslovlje. https://gramatika.hr/impresum/

 Izdajatelj

University of Mostar

 

University of Split

 

Jožef Stefan Institute

 Zahvala

Office of Naval Research N00014-20-1-2066 "Enhancing Adaptive Courseware based on Natural Language Processing"

 Ključne besede

knowledge extraction knowledge representation semantics semantic role labeling

 Zbirke

CLARIN.SI data & tools

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