Dr. Nedim Lipka is a researcher in Natural Language Processing and Artificial Intelligence, currently serving as a Senior Research Scientist within the Document Intelligence Lab at Adobe Research, where he leads a group focused on agentic intelligence. His career has evolved from his previous role at Adobe’s Big Data Experience Lab, where he concentrated on statistical machine learning from web data, particularly user-generated content and behavior, and developed a passion for Natural Language Understanding in conversational services. Nedim’s academic foundation was laid at the Web Technology and Information Systems group at the Bauhaus-Universität Weimar, where he gained expertise in data mining, machine learning, and text classification.

Nedim’s research centers on agentic intelligence, exploring the creation of autonomous agents capable of intelligent behavior within document environments. This involves investigating areas such as autonomous document processing, intelligent assistants for document understanding, and agents that can execute tasks on complex document structures and semantics. Nedim’s publications in top-tier NLP and IR conferences can be found here, including a Best Paper Award at the Web Conference in 2020 for his work on open intent extraction.

Beyond his publications, Nedim holds multiple patents in NLP and AI, with recent examples covering areas such as graph neural networks, text summarization, multi-agent systems, attribution, and document understanding methodologies. He also actively engages with the research community by frequently serving on program committees and acting as an Area Chair for major NLP and IR conferences. His ongoing work in agentic intelligence and document understanding contributes to the advancement of intelligent systems for interacting with digital documents.