Authors: Li Rihong, Zheng Bowen

Affiliation: 招银网络科技（深圳）有限公司

Description: Entity extraction based on layoutlmv3.
LayoutLMv3, a multimodal pre-trained Transformer for Document AI with unified text and image masking. Additionally, it is also pre-trained with a word-patch alignment objective to learn cross-modal alignment by predicting whether the corresponding image patch of a text word is masked. The simple unified architecture and training objectives make LayoutLMv3 a general-purpose pre-trained model for both text-centric and image-centric Document AI tasks. Experimental results show that LayoutLMv3 achieves state-of-the-art performance not only in text-centric tasks, including form understanding, receipt understanding, and document visual question answering, but also in image-centric tasks such as document image classification and document layout analysis.