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ARQMath is a co-operative evaluation exercise aiming to advance math-aware search and the semantic analysis of mathematical notation and texts. ARQMath has two tasks, one for answer retrieval, and one for formula retrieval. Datasets, relevance/training data (e.g., qrels and assessor data), and evaluation scripts may be found using the 'Datasets and Tools' button above. Over 70 annotated topics for each task are available.
ARQMath is being run for the second time at CLEF 2021. An overview paper (including results) from ARQMath 2020 is available along with participant papers in the CLEF 2020 working notes.
Richard Zanibbi (rxzvcs@rit.edu) Department of Computer Science Rochester Institute of Technology |
Behrooz Mansouri (bm3302@rit.edu)
Department of Computer Science Rochester Institute of Technology |
Douglas W. Oard (oard@umd.edu) College of Information Studies, and Institute for Advanced Computer Studies (UMIACS) University of Maryland, College Park |
Anurag Agarwal (axasma@rit.edu) School of Mathematical Sciences Rochester Institute of Technology |