Analysis of Systems' Performance in Natural Language Processing Competitions

arXiv:2403.04693v1 Announce Type: new
Abstract: Collaborative competitions have gained popularity in the scientific and technological fields. These competitions involve defining tasks, selecting evaluation scores, and devising result verification methods. In the standard scenario, participants receive a training set and are expected to provide a solution for a held-out dataset kept by organizers. An essential challenge for organizers arises when comparing algorithms' performance, assessing multiple participants, and ranking them. Statistical tools are often used for this purpose; however, traditional statistical methods …

abstract analysis arxiv collaborative competitions cs.lg dataset evaluation fields language language processing natural natural language natural language processing performance processing set solution standard systems tasks training type verification