Document Intelligence

In today’s digital and connected environments, documents are playing an increasingly central role in human communications and workplace productivity. Document intelligence focuses on reinventing the document to deliver magical experiences for document creation, consumption, and collaboration. At Adobe, research scientists from multiple disciplinaries, such as natural language understanding, document imaging analysis, and human computer interaction, work together in designing and architecting novel methods to unlock the value in documents. Researchers are exploring deep structural and semantic understanding so that users can easily extract relevant information, navigate in large document collections, and collaborate with others more efficiently and effectively. 

Meet some of our researchersView More

Rajiv Jain

Senior Research Scientist

Tong Sun

Research Lab Director

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SemEval 2022 Task 12: Symlink – Linking Mathematical Symbols to their Descriptions

Lai, V., Veyseh, A., Dernoncourt, F., Nguyen, T. (Jul. 15, 2022)

Semeval 2022

DynamicToC: Persona-based Table of Contents for Consumption of Long Documents

Maheshwari, H., Shivakumar, N., Jain, S., Karandikar, T., Goyal, N., Aggarwal, V., Shekhar, S. (Jul. 15, 2022)

North American Chapter of the Association for Computational Linguistics (NAACL)

Joint Extraction of Entities, Relations, and Events via Modeling Inter-Instance and Inter-Label Dependencies

Van Nguyen, M., Min, B., Dernoncourt, F., Nguyen, T. (Jul. 15, 2022)

NAACL 2022

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We are looking for researchers, engineers, and interns to take our technologies to the next level. We're recruiting, and we would love to hear from you!