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

Vishwa Vinay

Senior Research Scientist

Chris Tensmeyer

Research Scientist

Natwar Modani

Senior Research Manager

View our latest publicationsView More

Dynamic Path Reasoning for Measurement Relation Extraction

Veyseh, A., Dernoncourt, F., Nguyen, T. (Aug. 6, 2021)

SemEval 2021

A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution

Lai, T., Ji, H., Bui, T., Tran, Q., Dernoncourt, F., Chang, W. (Jun. 11, 2021)

NAACL 2021

Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models

Du, M., Manjunatha, V., Jain, R., Deshpande, R., Dernoncourt, F., Gu, J., Sun, T., Hu, X. (Jun. 11, 2021)

NAACL 2021

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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!