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Multi-View Consistency for Relation Extraction via Mutual Information and Structure Prediction

AAAI 2020 · Label-efficient and robust learning › Recognition and long-tail · approach: Uncertainty-aware multi-view learning · 13 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
induce structures with MVC instead of external-parser structure models (DRPC)relation extraction · ACE 2005 test Avg.F1: 63.92 -> 67.12Helped
MVC vs best structure-based modelrelation extraction · SemEval 2010macro F1: 85.8 -> 86.1Helped
add ON-LSTM module (ablation)MVC · ACE 2005 devF1: 67.5 -> 70.1Helped
add BiLSTM module (ablation)MVC · ACE 2005 devF1: 68.0 -> 70.1Helped
add self-attention module (ablation)MVC · ACE 2005 devF1: 68.4 -> 70.1Helped
add word contribution scores to KL structure loss (ablation)MVC · ACE 2005 devF1: 69.2 -> 70.1Helped
add KL structure consistency (ablation)MVC · ACE 2005 devF1: 68.1 -> 70.1Helped
add MI semantic consistency (ablation)MVC · ACE 2005 devF1: 69.5 -> 70.1Helped
add control mechanism (ablation)MVC · ACE 2005 devF1: 68.5 -> 70.1Helped
use MI for ON-LSTM and control for self-attention rather than MI for both (ablation)MVC · ACE 2005 devF1: 67.3 -> 70.1Helped
use MI for ON-LSTM and control for self-attention rather than control for both (ablation)MVC · ACE 2005 devF1: 68.9 -> 70.1Helped
add all three consistency constraints (KL, MI, control) (ablation)MVC · ACE 2005 devF1: 67.1 -> 70.1Helped

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