Typed Tensor Decomposition of Knowledge Bases for Relation Extraction

Short summary

A novel tensor decomposition method for knowledge base embedding significantly speeds up learning (10x faster) and improves relation extraction performance by 10 points in weighted mean average precision when used with existing state-of-the-art systems.

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