Instances (“Mozart”) are ontologically distinct from concepts or classes (“composer”). Natural language encompasses both, but instances have received ...

Instances and concepts in distributional space ; net nouns: Classes and instances. Computational. Linguistics, 32(1):1–3, 2016/12/15. ; David Nadeau and Satoshi ...

Instances ({``}Mozart{''}) are ontologically distinct from concepts or classes ({``}composer{''}). Natural language encompasses both, but instances have ...

Instances (“Mozart”) are ontologically distinct from concepts or classes (“composer”). Natural language encompasses both, but instances have received ...

Instances (“Mozart”) are ontologically distinct from concepts or classes (“composer”). Natural language encompasses both, but instances have received ...

Aug 24, 2017 · dc.date.available, 2017-08-24T11:26:34Z ; dc.date.issued, 2017 ; dc.identifier.citation, Boleda G, Gupta A, Pado S. Instances and concepts in ...

Instances and concepts in distributional space. Author. Boleda, Gemma and Gupta, Abhijeet and Padó, Sebastian. Conference. Proceedings of the 15th Conference of ...

Distributional semantic models are ubiquitous in cognitive science and artificial intelli- gence to model word meaning and conceptual knowledge . Examples of ...

The basic idea of the distributional learning setting is to assume that examples are being provided from a fixed (but perhaps unknown) distribution over the  ...

The instance space X is the set of all instances x. Assume each x is of size n. Instances are drawn i.i.d. from an unknown probability distribution D over X: x ...