Papers with Normal

1 papers
Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism (P18-1)

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Challenge: Existing methods focus on normal class and fail to extract relational triplets precisely.
Approach: They propose an end-to-end model which can jointly extract relational triplets from sentences . they employ two different strategies in decoding process: employing only one united decoder or applying multiple separated decodeurs.
Outcome: The proposed model outperforms the baseline method significantly in two datasets.

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