以下文章来源于哈工大SCIR ,作者哈工大SCIR
哈尔滨工业大学社会计算与信息检索研究中心
Jindřich Libovický and Jindřich Helcl. Attention strategies for multi-source sequence-to-sequence learning. ACL 2017. https://www.aclweb.org/anthology/P17-2031
[2]Yansen Wang, Ying Shen, Zhun Liu, P. P. Liang, Amir Zadeh, and Louis-Philippe Morency. Words can shift: Dynamically adjusting word representations using nonverbal behaviors. AAAI 2019.
[3]Gen Li, N. Duan, Yuejian Fang, Daxin Jiang, and M. Zhou. Unicoder-vl: A universal encoder forvision and language by cross-modal pre-training. AAAI 2020.
[4]R. Sanabria, Ozan Caglayan, Shruti Palaskar, Desmond Elliott, Loïc Barrault, Lucia Specia,and F. Metze. How2: A large-scale dataset for multimodal language understanding. NeurIPS 2018.
[5]Shruti Palaskar, Jindřich Libovický, Spandana Gella, and F. Metze. Multimodal abstractive summarization for how2 videos. ACL 2019.
[6]Haoran Li, Junnan Zhu, C. Ma, Jiajun Zhang, and C. Zong. Multi-modal summarization forasynchronous collection of text, image, audio and video. 2017.
[7]Haoran Li, Junnan Zhu, Tianshang Liu, Jiajun Zhang, and C. Zong. Multi-modal sentence summarization with modality attention and image filtering. IJCAI 2018.
[8]Junnan Zhu, Haoran Li, Tianshang Liu, Y. Zhou, Jiajun Zhang, and C. Zong. Msmo: Multimodal summarization with multimodal output. EMNLP 2018.
[9]Junnan Zhu, Yin qing Zhou, Jiajun Zhang, Haoran Li, Chengqing Zong, and Changliang Li. Multimodal summarization with guidance of multimodal reference. AAAI 2020.
[10]B. Erol, Dar-Shyang Lee, and J. Hull. Multimodal summarization of meeting recordings. ICME 2003.
[11]Fumio Nihei, Yukiko I. Nakano, and Yutaka Takase. Fusing verbal and nonverbal information forextractive meeting summarization. GIFT 2018.
[12]Manling Li, L. Zhang, H. Ji, and R. Radke. Keep meeting summaries on topic: Abstractive multimodal meeting summarization. ACL 2019.
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