Modeling Organization in Student Essays
Isaac Persing, Alan G. Davis, Vincent Ng · 2010
Automated essay scoring is one of the most important educational applications of natural language processing. Recently, researchers have begun exploring methods of scoring es-says with respect to particular dimensions of quality such as coherence, technical errors, and relevance to prompt, but there is rela-tively little work on modeling organization. We present a new annotated corpus and pro-pose heuristic-based and learning-based ap-proaches to scoring essays along the organi-zation dimension, utilizing techniques that in-volve sequence alignment, alignment kernels, and string kernels. 1