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Progressive Multi-task Learning with Controlled Information Flow for Joint Entity and Relation Extraction

AAAI 2021 · Label-efficient and robust learning › Recognition and long-tail · approach: Contrastive representation theory · 58 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add progressive task-specific representations using controlled early predictions and explicit task interactionsjoint entity and relation extraction · NYT exact matchF1: 76.9 -> 84.2Helped
add progressive task-specific representations using controlled early predictions and explicit task interactionsjoint entity and relation extraction · WebNLG exact matchF1: 75.7 -> 78.2Helped
add BERT initialization to PMEIPMEI · NYT partial matchF1: 87.8 -> 90.1Helped
add BERT initialization to PMEIPMEI · WebNLG partial matchF1: 88.1 -> 92.0Helped
add BERT initialization to PMEIPMEI · NYT10 partial matchF1: 72.6 -> 74.5Helped
add BERT initialization to PMEIPMEI · NYT11 partial matchF1: 57.2 -> 57.7Helped
add explicit interactions between task predictions (ablation)PMEI · NYT exact matchF1: 78.7 -> 84.2Helped
add explicit interactions between task predictions (ablation)PMEI · WebNLG exact matchF1: 77.7 -> 78.2Helped
add stochastic maps to control information flow (ablation)PMEI · NYT exact matchF1: 82.7 -> 84.2Helped
add stochastic maps to control information flow (ablation)PMEI · WebNLG exact matchF1: 76.9 -> 78.2Helped
add GRUCells instead of MLPs for the encoder distributions (ablation)PMEI · NYT exact matchF1: 83.4 -> 84.2Helped
add GRUCells instead of MLPs for the encoder distributions (ablation)PMEI · WebNLG exact matchF1: 77.5 -> 78.2Helped

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