Papers with TypeNet

1 papers
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking (P18-1)

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Challenge: Existing methods to incorporate hierarchical information into knowledge bases have yielded little benefit.
Approach: They propose methods to integrate hierarchical information using real bilinear mappings . they also propose two new datasets containing wide and deep hierarchies .
Outcome: The proposed methods improve on flat predictions and fine-grained entity typing on FIGER dataset.

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