KGloVe DBpedia predicate frequency embeddings (Q6717224)
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Dataset published at Zenodo repository.
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | KGloVe DBpedia predicate frequency embeddings |
Dataset published at Zenodo repository. |
Statements
This dataset contains the vectors from computing KGloVe embeddings from a predicate frequency weighted DBpedia 2016-04 graph. For each entity in the graph, the text file in the zip archive contains a line with the entity name and the embedded vector. The parameter settings for the embedding are as specified in the paper: Michael Cochez, Petar Ristoski, Simone Paolo Ponzetto, and Heiko Paulheim. 2017. Global RDF Vector Space Embeddings. In The Semantic Web ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 2125, 2017, Proceedings, Part I.
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21 October 2017
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