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Structured text extraction is one of the most valuable and challengingapplication directions in the field of Document AI. However, the scenarios ofpast benchmarks are limited, and the corresponding evaluation protocols usuallyfocus on the submodules of the structured text extraction scheme. In order toeliminate these problems, we organized the ICDAR 2023 competition on Structuredtext extraction from Visually-Rich Document images (SVRD). We set up two tracksfor SVRD including Track 1: HUST-CELL and Track 2: Baidu-FEST, where HUST-CELLaims to evaluate the end-to-end performance of Complex Entity Linking andLabeling, and Baidu-FEST focuses on evaluating the performance andgeneralization of Zero-shot / Few-shot Structured Text extraction from anend-to-end perspective. Compared to the current document benchmarks, our twotracks of competition benchmark enriches the scenarios greatly and containsmore than 50 types of visually-rich document images (mainly from the actualenterprise applications). The competition opened on 30th December, 2022 andclosed on 24th March, 2023. There are 35 participants and 91 valid submissionsreceived for Track 1, and 15 participants and 26 valid submissions received forTrack 2. In this report we will presents the motivation, competition datasets,task definition, evaluation protocol, and submission summaries. According tothe performance of the submissions, we believe there is still a large gap onthe expected information extraction performance for complex and zero-shotscenarios. It is hoped that this competition will attract many researchers inthe field of CV and NLP, and bring some new thoughts to the field of DocumentAI.

ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images