By Richard Zanibbi, Rochester Institute of Technology, USA, rxzvcs@rit.edu | Behrooz Mansouri, University of Southern Maine, USA, behrooz.mansouri@maine.edu | Anurag Agarwal, Rochester Institute of Technology, USA, axasma@rit.edu
Mathematical information is essential for technical work, but its creation, interpretation, and search are challenging. To help address these challenges, researchers have developed multimodal search engines and mathematical question answering systems. This monograph begins with a simple framework characterizing the information tasks that people and systems perform as we work to answer math-related questions. The framework is used to organize and relate the other core topics of the monograph, including interactions between people and systems, representing math formulas in sources, and evaluation. We close by addressing some key questions and presenting directions for future work. This monograph is intended for students, instructors, and researchers interested in systems that help us find and use mathematical information.
Mathematical information is essential for technical work, but its creation, interpretation, and search are challenging. To help address these challenges, researchers have developed multimodal search engines and mathematical question answering systems. This monograph begins with a simple framework characterizing the information tasks that people and systems perform as we work to answer math-related questions. The framework is used to organize and relate the other core topics of the monograph, including interactions between people and systems, representing math formulas in sources, and evaluation. The monograph closes by addressing some key questions and presenting directions for future work.
This monograph is intended for students, instructors, and researchers interested in systems that help us find and use mathematical information.