A hybrid approach to content analysis for automatic essay grading
Abstract
We present CarmelTC, a novel hybrid text clas-sification approach for automatic essay grad-ing. Our evaluation demonstrates that the hy-brid CarmelTC approach outperforms two “bag of words ” approaches, namely LSA and a Naive Bayes, as well as a purely symbolic approachSimilar works
This paper was published in CiteSeerX.
Having an issue?
Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.