期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2009
卷号：2009
出版社：ACL Anthology
摘要：In this paper, we explore unsupervised
techniques for the task of automatic short
answer grading. We compare a number of
knowledge-based and corpus-based measures
of text similarity, evaluate the effect
of domain and size on the corpus-based
measures, and also introduce a novel technique
to improve the performance of the
system by integrating automatic feedback
from the student answers. Overall, our
system significantly and consistently outperforms
other unsupervised methods for
short answer grading that have been proposed
in the past.
