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

Tong Sun

Research Lab Director

Chris Tensmeyer

Research Scientist

Shriram Revankar

VP and Fellow, BigData Experience Lab & Document Intelligence Lab

View our latest publicationsView More

Exploiting the Syntax-Model Consistency for Neural Relation Extraction

Veyseh, A., Dernoncourt, F., Dou, D., Nguyen, T. (Jul. 8, 2020)

ACL 2020

Understanding Points of Correspondence between Sentences for Abstractive Summarization

Lebanoff, L., Muchovej, J., Dernoncourt, F., Kim, D., Wang, L., Chang, W., Liu, F. (Jul. 8, 2020)

ACL SRW 2020

Exploiting the Matching Information in the Support Set for Few Shot Event Classification

Lai, V., Dernoncourt, F., Nguyen, T. (May. 14, 2020)

PAKDD 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!