Datasets

benchmarking word similarity and relatedness

Highlights: WordSim353 word pairs reannotated according to the word interchangeability guidelines, SimLex-999 word pairs reannotated according to the word interchangeability guidelines, SimLex-999 word pairs - original guidelines - CZECH version.

• Kliegr, Tomáš, and Ondřej Zamazal. "Antonyms are similar: Towards paradigmatic association approach to rating similarity in SimLex-999 and WordSim-353." Data & Knowledge Engineering 115 (2018): 174-193.

Entity salience collection

This dataset can serve for training or validating keyword detection algorithms and is described in:

• Dojchinovski, Milan, Dinesh Reddy, Tomáš Kliegr, Tomas Vitvar, and Harald Sack. "Crowdsourced Corpus with Entity Salience Annotations." In LREC. 2016.

Linked hypernyms dataset

This dataset extends DBpedia with additional types and is described in:

• Kliegr, Tomáš. "Linked hypernyms: Enriching DBpedia with targeted hypernym discovery." Web Semantics: Science, Services and Agents on the World Wide Web 31 (2015): 59-69.

Crowdsourced entity types

This dataset is intended for evaluation of entity typing algorithms and is our described in:

• Kliegr, Tomáš, and Ondřej Zamazal. "LHD 2.0: A text mining approach to typing entities in knowledge graphs." Web Semantics: Science, Services and Agents on the World Wide Web 39 (2016): 47-61. (free preprint).