Papers with KB Embeddings

1 papers
Connecting Language and Knowledge with Heterogeneous Representations for Neural Relation Extraction (N19-1)

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Challenge: Knowledge Bases (KBs) require constant updating to reflect changes to the world they represent.
Approach: They propose a framework that unifies learning of RE and KBE models . the framework is based on a relation extraction task that uses a KB relation to a phrase .
Outcome: The proposed framework unifies learning of RE and KBE models, leading to significant improvements over the state-of-the-art RE framework.

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