Papers by Zhishen Yang
Image Caption Generation for News Articles (2020.coling-main)
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| Challenge: | Existing work on news-image captioning requires a joint understanding of image and text. |
| Approach: | They propose a Transformer model that integrates text and image modalities and attends to textual features from visual features in generating a caption. |
| Outcome: | The proposed model outperforms the state-of-the-art model and improves the quality of news-image captions. |