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

Curtis Wigington

Research Software Developer

Jiuxiang Gu

Research Scientist

Brian Price

Senior Research Scientist

View our latest publicationsView More

MCECR: A Novel Dataset for Multilingual Cross-Document Event Coreference Resolution

Veyseh, A., Lai, V., Van Nguyen, C., Dernoncourt, F., Nguyen, T. (Jun. 21, 2024)

NAACL 2024 Findings

OATS: A Challenge Dataset for Opinion Aspect Target Sentiment Joint Detection for Aspect-Based Sentiment Analysis

Chebolu, S., Dernoncourt, F., Lipka, N., Solorio, T. (May. 25, 2024)

LREC-COLING 2024

DocScript: New Task, Dataset, and Models for Document-level Script Event Prediction

Mathur, P., Morariu, V., Garimella, A., Dernoncourt, F., Gu, J., Sawhney, R., Nakov, P., Manocha, D., Jain, R. (May. 25, 2024)

LREC-COLING 2024

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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!