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

Brian Price

Senior Research Scientist

Apoorv Saxena

Research Scientist

View our latest publicationsView More

An Analysis of Multilingual FActScore

Kim, V., Krumdick, M., Reddy, V., Dernoncourt, F., Lai, V. (Nov. 16, 2024)

EMNLP 2024

Towards Enhancing Coherence in Extractive Summarization: Dataset and Experiments with LLMs

Parmar, M., Deilamsalehy, H., Dernoncourt, F., Yoon, D., Rossi, R., Bui, T. (Nov. 16, 2024)

EMNLP 2024

DocEditAgent: Document Structure Editing Via Multimodal LLM Grounding

Suri, M., Mathur, P., Dernoncourt, F., Jain, R., Morariu, V., Sawhney, R., Nakov, P., Manocha, D. (Nov. 16, 2024)

EMNLP 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!