Paper: Modeling Thesis Clarity in Student Essays

ACL ID P13-1026
Title Modeling Thesis Clarity in Student Essays
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2013
Authors

Recently, researchers have begun explor- ing methods of scoring student essays with respect to particular dimensions of qual- ity such as coherence, technical errors, and relevance to prompt, but there is rel- atively little work on modeling thesis clar- ity. We present a new annotated corpus and propose a learning-based approach to scoring essays along the thesis clarity di- mension. Additionally, in order to pro- vide more valuable feedback on why an essay is scored as it is, we propose a sec- ond learning-based approach to identify- ing what kinds of errors an essay has that may lower its thesis clarity score.