Sentence Similarity Analysis with Applications in Automatic Short Answer Grading
Description:
In this dissertation, I explore unsupervised techniques for the task of automatic short answer grading. I 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. I continue to combine graph alignment features with lexical semantic similarity measures and employ mach…
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Date:
August 2012
Creator:
Mohler, Michael A. G.