Papers with REIF

1 papers
Finding Influential Instances for Distantly Supervised Relation Extraction (2022.coling-1)

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Challenge: Distant supervision models suffer from high label noise and are not reliable for DS.
Approach: They propose a model-agnostic instance sampling method for relation extraction (RE) by influence function, namely REIF.
Outcome: The proposed method reduces the computational complexity from O(mn) to O(1), with analyzing its robustness on the selected sampling function.

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