Learning Word Embeddings for Hyponymy with Entailment-Based Distributional Semantics

6 Oct 2017 James Henderson

Lexical entailment, such as hyponymy, is a fundamental issue in the semantics of natural language. This paper proposes distributional semantic models which efficiently learn word embeddings for entailment, using a recently-proposed framework for modelling entailment in a vector-space... (read more)

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