Knowledge Commons of Institute of Automation,CAS
GraphMLLM: A Graph-based Multi-level Layout Language-independent Model for Document Understanding | |
He-Sen Dai1,2; Xiao-Hui Li2; Fei Yin2; Xudong Yan3; Shuqi Mei3; Cheng-Lin Liu1,2 | |
2024-09 | |
会议名称 | International Conference on Document Analysis and Recognition |
会议日期 | 2024-09 |
会议地点 | 希腊雅典 |
出版者 | Springer |
摘要 | Self-supervised multi-modal document pre-training for document knowledge learning shows superiority in various downstream tasks. However, due to the diversity of document languages and structures, there is still room to better model various document layouts while efficiently utilizing the pre-trained language models. To this goal, this paper proposes a Graph-based Multi-level Layout Language-independent Model (GraphMLLM) which uses dual-stream structure to explore textual and layout information separately and cooperatively. Specifically, GraphMLLM consists of a text stream which uses off-the-shelf pre-trained language model to explore textual semantics and a layout stream which uses multi-level graph neural network (GNN) to model hierarchical page layouts. Through the cooperation of the text stream and layout stream, GraphMLLM can model multi-level page layouts more comprehensively and improve the performance of language-independent document pretrained model. Experimental results show that compared with previous state-of-the-art methods, GraphMLLM yields higher performance on downstream visual information extraction (VIE) tasks after pre-training on less documents. Code and model will be available at https://github.com/HSDai/GraphMLLM. |
关键词 | Visual information extraction Self-supervised pre-training Multi-level page layouts |
语种 | 英语 |
是否为代表性论文 | 否 |
七大方向——子方向分类 | 文字识别与文档分析 |
国重实验室规划方向分类 | 人工智能基础前沿理论 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57238 |
专题 | 多模态人工智能系统全国重点实验室_模式分析与学习 |
通讯作者 | Xiao-Hui Li |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China 2.State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation of Chinese Academy of Sciences, Beijing, 100190, China 3.T Lab, Tencent Map, Tencent Technology (Beijing) Co., Ltd., Beijing, 100193, China |
推荐引用方式 GB/T 7714 | He-Sen Dai,Xiao-Hui Li,Fei Yin,et al. GraphMLLM: A Graph-based Multi-level Layout Language-independent Model for Document Understanding[C]:Springer,2024. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
0059.pdf(967KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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