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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Multimodal Summarization with Guidance of Multimodal Reference

February 1, 2023

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Authors

Junnan Zhu

Chinese Academy of Sciences


Yu Zhou

Chinese Academy of Sciences


Jiajun Zhang

Chinese Academy of Sciences


Haoran Li

JD AI Research


Chengqing Zong

Chinese Academy of Sciences


Changliang Li

Kingsoft AI Lab


DOI:

10.1609/aaai.v34i05.6525


Abstract:

Multimodal summarization with multimodal output (MSMO) is to generate a multimodal summary for a multimodal news report, which has been proven to effectively improve users' satisfaction. The existing MSMO methods are trained by the target of text modality, leading to the modality-bias problem that ignores the quality of model-selected image during training. To alleviate this problem, we propose a multimodal objective function with the guidance of multimodal reference to use the loss from the summary generation and the image selection. Due to the lack of multimodal reference data, we present two strategies, i.e., ROUGE-ranking and Order-ranking, to construct the multimodal reference by extending the text reference. Meanwhile, to better evaluate multimodal outputs, we propose a novel evaluation metric based on joint multimodal representation, projecting the model output and multimodal reference into a joint semantic space during evaluation. Experimental results have shown that our proposed model achieves the new state-of-the-art on both automatic and manual evaluation metrics. Besides, our proposed evaluation method can effectively improve the correlation with human judgments.

Topics: AAAI

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HOW TO CITE:

Junnan Zhu||Yu Zhou||Jiajun Zhang||Haoran Li||Chengqing Zong||Changliang Li Multimodal Summarization with Guidance of Multimodal Reference Proceedings of the AAAI Conference on Artificial Intelligence (2020) 9749-9756.

Junnan Zhu||Yu Zhou||Jiajun Zhang||Haoran Li||Chengqing Zong||Changliang Li Multimodal Summarization with Guidance of Multimodal Reference AAAI 2020, 9749-9756.

Junnan Zhu||Yu Zhou||Jiajun Zhang||Haoran Li||Chengqing Zong||Changliang Li (2020). Multimodal Summarization with Guidance of Multimodal Reference. Proceedings of the AAAI Conference on Artificial Intelligence, 9749-9756.

Junnan Zhu||Yu Zhou||Jiajun Zhang||Haoran Li||Chengqing Zong||Changliang Li. Multimodal Summarization with Guidance of Multimodal Reference. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.9749-9756.

Junnan Zhu||Yu Zhou||Jiajun Zhang||Haoran Li||Chengqing Zong||Changliang Li. 2020. Multimodal Summarization with Guidance of Multimodal Reference. "Proceedings of the AAAI Conference on Artificial Intelligence". 9749-9756.

Junnan Zhu||Yu Zhou||Jiajun Zhang||Haoran Li||Chengqing Zong||Changliang Li. (2020) "Multimodal Summarization with Guidance of Multimodal Reference", Proceedings of the AAAI Conference on Artificial Intelligence, p.9749-9756

Junnan Zhu||Yu Zhou||Jiajun Zhang||Haoran Li||Chengqing Zong||Changliang Li, "Multimodal Summarization with Guidance of Multimodal Reference", AAAI, p.9749-9756, 2020.

Junnan Zhu||Yu Zhou||Jiajun Zhang||Haoran Li||Chengqing Zong||Changliang Li. "Multimodal Summarization with Guidance of Multimodal Reference". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.9749-9756.

Junnan Zhu||Yu Zhou||Jiajun Zhang||Haoran Li||Chengqing Zong||Changliang Li. "Multimodal Summarization with Guidance of Multimodal Reference". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 9749-9756.

Junnan Zhu||Yu Zhou||Jiajun Zhang||Haoran Li||Chengqing Zong||Changliang Li. Multimodal Summarization with Guidance of Multimodal Reference. AAAI[Internet]. 2020[cited 2023]; 9749-9756.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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