Papers with Separate Head-Tail Convolution Neural Network

1 papers
Distant Supervised Relation Extraction with Separate Head-Tail CNN (D19-55)

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Challenge: Distant supervised relation extraction suffers from mislabeling problem due to strong assumption . et al., 2009: distant supervision can be used to extract relations between entities .
Approach: They propose a neural relation extraction framework which uses convolution and pooling to extract better semantic features of sentences.
Outcome: The proposed framework improves relation extraction performance on a widely used dataset.

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