Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding

Author:

Xu Hongshen1ORCID,Chen Lu1ORCID,Zhao Zihan1ORCID,Ma Da2ORCID,Cao Ruisheng2ORCID,Zhu Zichen2ORCID,Yu Kai2ORCID

Affiliation:

1. X-LANCE lab, Shanghai Jiao Tong University, Shanghai, China

2. MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China

Funder

Shanghai Municipal Science and Technology Major Project

the China NSFC Project

Publisher

ACM

Reference41 articles.

1. Armen Aghajanyan, Dmytro Okhonko, Mike Lewis, Mandar Joshi, Hu Xu, Gargi Ghosh, and Luke Zettlemoyer. 2021. Htlm: Hyper-text pre-training and prompting of language models. arXiv preprint arXiv:2107.06955 (2021).

2. DocFormer: End-to-End Transformer for Document Understanding

3. Bootstrapping Information Extraction from Semi-structured Web Pages

4. Xingyu Chen, Zihan Zhao, Lu Chen, Danyang Zhang, Jiabao Ji, Ao Luo, Yuxuan Xiong, and Kai Yu. 2021. Websrc: A dataset for web-based structural reading comprehension. arXiv preprint arXiv:2101.09465 (2021).

5. Yen-Chun Chen, Linjie Li, Licheng Yu, Ahmed El Kholy, Faisal Ahmed, Zhe Gan, Yu Cheng, and Jingjing Liu. 2020. Uniter: Universal image-text representation learning. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XXX. Springer, 104--120.

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