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Multi-modal Graph Fusion for Named Entity Recognition with Targeted Visual Guidance

AAAI 2021 · Vision-language and multimodal › Human and embodied modeling · approach: Multimodal retrieval-augmented modeling · 210 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use UMGF instead of UMTMNER · Twitter-2015overall F1: 73.18 -> 74.85†Helped
use UMGF instead of UMTMNER · Twitter-2017overall F1: 83.93 -> 85.51†Helped
use UMGF instead of UMTMNER · Twitter-2017coverall F1: 82.43 -> 83.78†Helped
use UMGF instead of UMTMNER · Twitter-2017 → Twitter-2015overall F1: 64.13 -> 66.21†Helped
use UMGF instead of UMTMNER · Twitter-2015 → Twitter-2017overall F1: 60.87 -> 62.74†Helped
add targeted visual guidance rather than average-segmented visual regions (ablation)UMGF · Twitter-2015overall F1: 71.21 -> 74.85Helped
add targeted visual guidance rather than average-segmented visual regions (ablation)UMGF · Twitter-2017overall F1: 83.26 -> 85.51Helped
add correlations among visual objects (ablation)UMGF · Twitter-2015overall F1: 73.91 -> 74.85Helped
add correlations among visual objects (ablation)UMGF · Twitter-2017overall F1: 84.18 -> 85.51Helped
use modality-specific rather than shared parameters (ablation)UMGF · Twitter-2015overall F1: 73.64 -> 74.85Helped
use modality-specific rather than shared parameters (ablation)UMGF · Twitter-2017overall F1: 84.61 -> 85.51Helped

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