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. 

Publications

All Publications
September 10, 2025 RANLP 2025

A Survey on Small Language Models

Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen

AI & Machine Learning Document Intelligence Natural Language Processing
December 1, 2022 Foundations and Trends in Human–Computer Interaction

Readability Research: An Interdisciplinary Approach

Sofie Beier, Sam Berlow, Esat Boucaud, Zoya Bylinskii, Tianyuan Cai, Jenae Cohn, Kathy Crowley, Stephanie L. Day, Tilman Dingler, Jonathan Dobres, Jennifer Healey, Rajiv Jain, Marjorie Jordan, Bernard Kerr, Qisheng Li, Dave B. Miller, Susanne Nobles, Alexandra Papoutsaki, Jing Qian, Tina Rezvanian, Shelley Rodrigo, Ben D. Sawyer, Shannon M. Sheppard, Bram Stein, Rick Trietman, Jen Vanek, Shaun Wallace, Benjamin Wolfe

Document Intelligence Human Computer Interaction Natural Language Processing
February 7, 2020 34th AAAI Conference on Artificial Intelligence (AAAI 2020)

Exploratory Navigation and Selective Reading

Natwar Modani, Paridhi Maheshwari, Harsh Deshpande, Saurab Sirpurkar, Diviya, Somak Aditya

AI & Machine Learning Document Intelligence Human Computer Interaction
November 9, 2019 Workshop on Machine Learning (WML) at International Conference on Document Analysis and Recognition (ICDAR)

Robust Keypoint Regression

Chris Tensmeyer, Tony Martinez

Long Oral

AI & Machine Learning Computer Vision, Imaging & Video Document Intelligence