Words are Vectors, Dependencies are Matrices: Learning Word Embeddings from Dependency Graphs

WS 2019 Paula CzarnowskaGuy EmersonAnn Copestake

Distributional Semantic Models (DSMs) construct vector representations of word meanings based on their contexts. Typically, the contexts of a word are defined as its closest neighbours, but they can also be retrieved from its syntactic dependency relations... (read more)

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