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Supervised Phrase-boundary Embeddings

2020-02-15Code Available0· sign in to hype

Manni Singh, David Weston, Mark Levene

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Abstract

We propose a new word embedding model, called SPhrase, that incorporates supervised phrase information. Our method modifies traditional word embeddings by ensuring that all target words in a phrase have exactly the same context. We demonstrate that including this information within a context window produces superior embeddings for both intrinsic evaluation tasks and downstream extrinsic tasks.

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