Comunicació presentada a l'European Chapter of the Association for Computational Linguistics (EACL) celebrat a València, Espanya, del 2 al 6 de juny de 2017.

Instances (“Mozart”) are ontologically distinct from concepts or classes (“composer”). Natural language encompasses both, but instances have received comparatively little attention in distributional semantics. Our results show that instances and concepts differ in their distributional properties. We also establish that instantiation detection (“Mozart – composer”) is generally easier than hypernymy detection (“chemist – scientist”), and that results on the influence of input representation do not transfer from hyponymy to instantiation.

The authors have received funding from DFG (SFB 732, project B9). and from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 715154; AMORE), as well as under the Marie Sklodowska-Curie grant agreement No 655577 (LOVe).