Semantic hypergraph corpus SemCRO 1.0

  Authors

Vasić, Daniel ; et al.show everyone

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

  Item identifier

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

 Project URL

https://www.acnltutor.net/

 Demo URL

https://bitbucket.org/danielvasic/croatiangraphbrain

 Date issued

2020-11-20

 Type

corpus, text

 Size

184 sentences, 176 semanticUnits

 Language(s)

Croatian

 Description

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/

 Publisher

University of Mostar

 

University of Split

 

Jožef Stefan Institute

 Acknowledgement

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

 Subject(s)

knowledge extraction knowledge representation semantics semantic role labeling

 Collection(s)

CLARIN.SI data & tools

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