Slovene corpus for general relation extraction SloREL 1.0

  Authors

Štravs, Miha ; Knez, Timotej and Žitnik, Slavko

  Item identifier

http://hdl.handle.net/11356/1685

 Referenced by

http://hdl.handle.net/20.500.12556/RUL-138295

 Date issued

2022-09-15

 Type

corpus, text

 Size

245333 sentences, 41673426 bytes

 Language(s)

Slovenian

 Description

The SloREL corpus contains annotations for training relation extraction models on Slovene documents. It contains documents from Slovene Wikipedia with annotated entities and relations. We constructed the annotations using a semi-supervised process based on linking the documents to the WikiData knowledge graph. The corpus contains 244,437 sentences from Slovene Wikipedia pages. We also provide 896 additional sentences collected from the 24ur.com news website with annotated and linked entities, which do not contain annotated relations and are meant for additional testing of the models. The entities in our corpus are linked to the entities in the WikiData knowledge graph which is useful for models that take advantage of additional knowledge from a knowledge graph. All together the corpus comprises 245,333 sentences with 813,952 relations and 1,616,193 entities. The corpus comprises of multiple documents: - schema-definition.xsd: defines the structure of the xml documents containing relation annotations. - wikipedia-train.xml: training portion of the wikipedia corpus - wikipedia-test.xml: testing portion of the wikipedia corpus - wikipedia-validation.xml: validation portion of the wikipedia corpus - 24ur.xml: additional sentences from the 24ur.com news articles

 Publisher

Faculty of Computer and Information Science, University of Ljubljana

 Subject(s)

Wikipedia semi-supervised semantic relations

 Collection(s)

CLARIN.SI data & tools

 

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