A First Experiment on Including Text Literals in KGloVe
Cochez, M., Garofalo, M., Lenßen, J., & Pellegrino, M. A. (2018). A First Experiment on Including Text Literals in KGloVe. In K.-S. Choi, L. E. Anke, T. Declerck, D. Gromann, J.-D. Kim, A.-C. N. Ngomo, M. Saleem, & R. Usbeck (Eds.), SemDeep-4_NLIWOD-4 2018 : Joint Proceedings of ISWC 2018 Workshops SemDeep-4 and NLIWOD-4 (pp. 103-106). RWTH Aachen University. CEUR workshop proceedings, 2241. http://ceur-ws.org/Vol-2241/
Julkaistu sarjassa
CEUR workshop proceedingsToimittajat
Päivämäärä
2018Tekijänoikeudet
© the Authors, 2018.
Graph embedding models produce embedding vectors for entities
and relations in Knowledge Graphs, often without taking literal
properties into account. We show an initial idea based on the combination
of global graph structure with additional information provided
by textual information in properties. Our initial experiment shows that
this approach might be useful, but does not clearly outperform earlier
approaches when evaluated on machine learning tasks.
Julkaisija
RWTH Aachen UniversityKonferenssi
Workshop on Semantic Deep LearningKuuluu julkaisuun
SemDeep-4_NLIWOD-4 2018 : Joint Proceedings of ISWC 2018 Workshops SemDeep-4 and NLIWOD-4ISSN Hae Julkaisufoorumista
1613-0073
Alkuperäislähde
http://ceur-ws.org/Vol-2241/Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/28717343
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