Papers with generic modality-attention module

1 papers
Multimodal Named Entity Recognition for Short Social Media Posts (N18-1)

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Challenge: Social media posts often contain inconsistent or incomplete syntax and lexical notations with limited textual contexts.
Approach: They propose a task called Multimodal Named Entity Recognition (MNER) for noisy user-generated data . they use a dataset called SnapCaptions to build upon the state-of-the-art NER models .
Outcome: The proposed model outperforms existing models on noisy user-generated data . it uses a deep image network and generic modality attention module .

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