StrucTexT: Structured Text Understanding with Multi-Modal Transformers-Reference-Cited by-同舟云学术

StrucTexT: Structured Text Understanding with Multi-Modal Transformers

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Multimedia
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Author:

Li Yulin¹,Qian Yuxi²,Yu Yuechen¹,Qin Xiameng¹,Zhang Chengquan¹,Liu Yan³,Yao Kun¹,Han Junyu¹,Liu Jingtuo¹,Ding Errui¹

Affiliation:

1. Baidu Inc., Beijing, China

2. Beijing University of Posts and Telecommunications, Beijing, China

3. Taikang Insurance Group, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474085.3475345

Reference52 articles.

1. Mengli Cheng Minghui Qiu Xing Shi Jun Huang and Wei Lin. 2020. One-shot Text Field labeling using Attention and Belief Propagation for Structure Information Extraction. In ACM Multimedia. ACM 340--348. Mengli Cheng Minghui Qiu Xing Shi Jun Huang and Wei Lin. 2020. One-shot Text Field labeling using Attention and Belief Propagation for Structure Information Extraction. In ACM Multimedia. ACM 340--348.

2. Zihang Dai Zhilin Yang Yiming Yang Jaime Carbonell Quoc Le and Ruslan Salakhutdinov. 2019. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. In ACL . ACL 2978--2988. Zihang Dai Zhilin Yang Yiming Yang Jaime Carbonell Quoc Le and Ruslan Salakhutdinov. 2019. Transformer-XL: Attentive Language Models beyond a Fixed-Length Context. In ACL . ACL 2978--2988.

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