Papers by Dixiang Zhang
Flat Multi-modal Interaction Transformer for Named Entity Recognition (2022.coling-1)
Copied to clipboard
| Challenge: | Named entity recognition (MNER) aims at identifying entity spans and recognizing their categories in social media posts with the aid of images. |
| Approach: | They propose to use sentences and general domain words to obtain visual cues to transform the fine-grained semantic representation of vision and text into a unified lattice structure and leverage entity boundary detection as an auxiliary task to alleviate visual bias. |
| Outcome: | The proposed method achieves state-of-the-art on two benchmark datasets. |