期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2011
卷号：2011
出版社：ACL Anthology
摘要：In this work we address the task of computerassisted
assessment of short student answers.
We combine several graph alignment features
with lexical semantic similarity measures using
machine learning techniques and show
that the student answers can be more accurately
graded than if the semantic measures
were used in isolation. We also present a first
attempt to align the dependency graphs of the
student and the instructor answers in order to
make use of a structural component in the automatic
grading of student answers.
