The third Answer Retrieval for Questions on Math (ARQMath -- Overview Video) Lab will be run for CLEF 2022. Visit the task web page and twitter page for more information. ARQMath contains tasks for mathematical question answer retrieval, math formula retrieval, and a possible pilot task on open-domain question answering.
We are creating a system to make finding mathematical information easier. We want students of all ages and the general public to be able to quickly lookup unfamiliar symbols, and see how formulas are defined, used, and analyzed in online resources like Wikipedia, Math StackExchange, and technical document collections such as CiteSeerX.These technologies will also be useful for math experts, and for exploring how math is used within and across disciplines. For example, a mathematician studying graph theory could use our system to find related applications in physics, ecology, and social networks.
To be successful, we need to create innovative search engines, interfaces, and algorithms for extracting and recognizing math. Here are the research topics we are currently working on:
MathSeer is being developed through a collaboration of students and faculty at the Document and Pattern Recognition Lab at the Rochester Institute of Technology, and the Intelligent Information Systems Research Laboratory at PennState, along with faculty from the RIT Math department and the Computational Linguistics and Information Processing Lab at the University of Maryland, College Park.Our multi-disciplinary team includes recognized experts in Information Retrieval, Pattern Recognition, Mathematics, and Math Education. Additional information may be found on the Members page.
The MathSeer project is made possible through research grants from the Alfred P. Sloan Foundation and the National Science Foundation (USA). All materials on this website reflect the work and opinions of the project team, and not the Alfred P. Sloan Foundation or the NSF.