Papers with large-scale RE system

1 papers
Simple Large-scale Relation Extraction from Unstructured Text (L18-1)

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Challenge: Knowledge-based question answering relies on the availability of facts, most of which cannot be found in structured sources.
Approach: They propose a method for creating distant (weak) supervision labels for training a large-scale RE system by decoupling the model architecture from the feature design of a state-of-the-art neural network system.
Outcome: The proposed method performs on par with the state-of-the-art model with similar features at 75x reduction in training time.

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