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Adaptive Co-attention Network for Named Entity Recognition in Tweets

AAAI 2018 · Vision-language and multimodal › Human and embodied modeling · approach: Multimodal retrieval-augmented modeling · 389 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
add image information via adaptive co-attentionCNN+BiLSTM+CRF · Multimodal Twitter NERF1: 67.15 -> 70.69Helped
add CRF decoder (vs softmax) (ablation)ACN · Multimodal Twitter NERF1: 66.32 -> 70.69Helped
add gated multimodal fusion (vs concatenation) (ablation)ACN · Multimodal Twitter NERF1: 68.12 -> 70.69Helped
add filtration gate (ablation)ACN · Multimodal Twitter NERF1: 69.16 -> 70.69Helped
add dropout (ablation)ACN · Multimodal Twitter NERF1: 68.16 -> 70.69Helped
increase hidden dimension beyond 200 (ablation)ACN · Multimodal Twitter NERF1: 70.69 -> 68.42Hurt

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