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

Brian Price

Senior Research Scientist

Natwar Modani

Senior Research Manager

Shriram Revankar

VP and Fellow, BigData Experience Lab & Document Intelligence Lab

View our latest publicationsView More

SemEval-2020 Task 6: Definition extraction from free text with the DEFT corpus

Spala, S., Miller, N., Dernoncourt, F., Dockhorn, C. (Dec. 13, 2020)

SemEval 2020

SemEval-2020 Task 10: Emphasis Selection for Written Text in Visual Media

Shirani, A., Dernoncourt, F., Lipka, N., Asente, P., Echevarria, J., Solorio, T. (Dec. 13, 2020)

SemEval 2020

Extensively Matching for Few-shot Learning Event Detection

Lai, V., Dernoncourt, F., Nguyen, T. (Jul. 9, 2020)

ACL NUSE 2020

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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!