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Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions

AAAI 2020 · Architectures and efficiency › Attention and transformers · approach: Language model pretraining and induction · 31 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add FUTURE module (Pd) to pointer decoder (ablation)Ours · ROCStoryPMR: 40.92 -> 46.00Helped
add FUTURE module (Pd) to pointer decoder (ablation)Ours · SINDPMR: 15.73 -> 17.37Helped
add HISTORY module Pl1 (distance 1) (ablation)Ours · ROCStoryPMR: 44.66 -> 46.00Helped
add HISTORY module Pl2 (distance 2) (ablation)Ours · SINDPMR: 17.10 -> 17.37Helped
add HISTORY module Pl2 (distance 2) (ablation)Ours · arXivKendall tau: 76.46 -> 76.65Helped
feed pairwise predictions into decoder instead of only multi-task lossOurs · ROCStoryPMR: 41.29 -> 46.00Helped
add pairwise-module decoder enhancement to ATTOrderNet baselineOurs · ROCStoryPMR: 40.01 -> 46.00Helped
replace masked self-attention decoder with pairwise-enhanced decoderOurs · SINDPMR: 15.43 -> 17.37Helped
add pairwise ordering multi-task losses only (MTL)Baseline · SINDKendall tau: 51.67 -> 52.28No clear effect
use pairwise-enhanced ordering for summary reorderingOurs · DUC 2004coherence: 45.92 -> 48.67Helped

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