Papers by Hai Zhuge
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN (D18-1)
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| Challenge: | Recent research shows the strength of the Encoder-Decoder model in text summarization. |
| Approach: | They propose to use the attentional hierarchical Encoder-Decoder model to summarize a text document and its accompanying images simultaneously and then to align the sentences and images in summaries. |
| Outcome: | The proposed model outperforms the existing methods that do not consider images . it can generate informative summaries of images, and it can be used to summarize documents . |