Abstract
Document understanding and information extraction include different tasks to understand a document and extract valuable information automatically. Recently, there has been a rising demand for developing document understanding among different domains, including business, law, and medicine, to boost the efficiency of work that is associated with a large number of documents. This workshop aims to bring together researchers and industry developers in the field of document intelligence and understanding diverse document types to boost automatic document processing and understanding techniques. We also release a data challenge on the recently introduced document-level VQA dataset, PDFVQA. The PDFVQA challenge examines the model's structural and contextual understandings on the natural full document level of multiple consecutive document pages by including questions with a sequence of answers extracted from multi-pages of the full document. This task helps to boost the document understanding step from the single-page level to the full document level understanding.
Original language | English |
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Pages | 5273-5276 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 21 Oct 2023 |
Event | 32nd ACM International Conference on Information and Knowledge Management - Birmingham, United Kingdom Duration: 21 Oct 2023 → 25 Oct 2023 |
Conference
Conference | 32nd ACM International Conference on Information and Knowledge Management |
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Abbreviated title | CIKM 2023 |
Country/Territory | United Kingdom |
City | Birmingham |
Period | 21/10/23 → 25/10/23 |