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Deep Joint Entity Disambiguation with Local Neural Attention.

EMNLP, (2017)

Cited: 206|Views336
EI

Abstract

We propose a novel deep learning model for joint document-level entity disambiguation, which leverages learned neural representations. Key components are entity embeddings, a neural attention mechanism over local context windows, and a differentiable joint inference stage for disambiguation. Our approach thereby combines benefits of deep ...More

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