VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles

Mingzhe Li, Xiuying Chen, Shen Gao, Zhangming Chan, Dongyan Zhao 0001, Rui Yan 0001. VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles. In Bonnie Webber, Trevor Cohn, Yulan He, Yang Liu, editors, Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020. pages 9360-9369, Association for Computational Linguistics, 2020. [doi]

@inproceedings{LiCGCZY20,
  title = {VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles},
  author = {Mingzhe Li and Xiuying Chen and Shen Gao and Zhangming Chan and Dongyan Zhao 0001 and Rui Yan 0001},
  year = {2020},
  url = {https://www.aclweb.org/anthology/2020.emnlp-main.752/},
  researchr = {https://researchr.org/publication/LiCGCZY20},
  cites = {0},
  citedby = {0},
  pages = {9360-9369},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020},
  editor = {Bonnie Webber and Trevor Cohn and Yulan He and Yang Liu},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-952148-60-6},
}