DI-2021: The Second Document Intelligence Workshop
Authors: 
Benjamin Han, Douglas Burdick, Dave Lewis, Yijuan Lu, Hamid Motahari, Sandeep TataAuthors Info & Claims
Pages 4127 - 4128
Abstract
Business documents are central to the operation of all organizations, and they come in all shapes and sizes: project reports, planning documents, technical specifications, financial statements, meeting minutes, legal agreements, contracts, resumes, purchase orders, invoices, and many more. The ability to read, understand and interpret these documents, referred to here as Document Intelligence (DI), is challenging due to not only many domains of knowledge involved, but also their complex formats and structures, internal and external cross references deployed, and even less-than-ideal quality of scans and OCR oftentimes performed on them. This workshop aims to explore and advance the current state of research and practice in answering these challenges.
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- DI-2021: The Second Document Intelligence Workshop
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Information
Published In
August 2021
4259 pages
ISBN:9781450383325
DOI:10.1145/3447548
- General Chairs:
- Feida Zhu,
- Beng Chin Ooi,
- Chunyan Miao,
- Program Chairs:
- Haixun Wang,
- Iryna Skrypnyk,
- Wynne Hsu,
- Sanjay Chawla
Copyright © 2021 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 14 August 2021
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Conference
KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
August 14 - 18, 2021
Virtual Event, Singapore
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Overall Acceptance Rate 1,133 of 8,635 submissions, 13%
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