Accelerating Research through Learning-Based Scientific Document Analysis

01.01.2024 bis 31.12.2027

A s t h e v o l u m e o f s c i e n t i f i c l i t e r a t u r e h a s b e c o m e t o o l a r g e f o r
individual researchers to overview, research is being hindered by
redundant research approaches, overlooked relevant references, or
important connections not being made. The Geiger group works on
problems in Artificial Intelligence, in particular at the intersection
of computer vision, machine learning and robotics. From here, the
applicants wants his group to expand towards novel models for natural
language processing and the application of these in deep semantic
analyses of scientific articles. One of the main objectives is to
establish an "intelligent scholar inbox" that makes use of natural
language processing and makes large language models available as a
tool for the scientific community. The group will develop novel
algorithms, models and datasets to push the state-of-theart in
scientific document processing and information extraction, and the
developed web platform will become a valuable tool for researchers in
the research community.