arXiv · 1507.03462
Supervised Hierarchical Classification for Student Answer Scoring
Abstract
This paper describes a hierarchical system that predicts one label at a time for automated student response analysis. For the task, we build a classification binary tree that delays more easily confused labels to later stages using hierarchical processes. In particular, the paper describes how the hierarchical classifier has been built and how the classification task has been broken down into binary subtasks. It finally discusses the motivations and fundamentals of such an approach.
Explore related subjects
Keep this discovery
Itziar Aldabe, Oier Lopez de Lacalle, Iñigo Lopez-Gazpio, Montse Maritxalar. 2015-07-13. Supervised Hierarchical Classification for Student Answer Scoring. https://arxiv.org/abs/1507.03462
Cite the original work for its findings. Save a collection to share your selection of sources.