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

Jiuxiang Gu

Research Scientist

Jennifer Healey

Senior Research Scientist

View our latest publicationsView More

Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification

Deng, Z., Yoon, D., Bui, T., Dernoncourt, F., Tran, Q., Liu, S., Zhao, W., Zhang, T., Wang, Y., Yu, P. (Dec. 18, 2023)

2023 IEEE International Conference on Big Data

ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning

Lai, V., Ngo, N., Veyseh, A., Man, H., Dernoncourt, F., Bui, T., Nguyen, T. (Dec. 10, 2023)

Findings of EMNLP 2023

A Review of Datasets for Aspect-based Sentiment Analysis

Chebolu, S., Dernoncourt, F., Lipka, N., Solorio, T. (Nov. 4, 2023)

IJCNLP-AACL 2023

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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!