In our evaluation we demonstrate that CarmelTC outperforms both Latent Semantic Analysis (LSA)  and Rainbow Naive Bayes (McCallum and Nigam, 1998), as well as a purely symbolic approach similar to (Furnkranz et al., 1998).
our evaluation demonstrates the advantage of combining predictions from symbolic and "bag of words" approaches for content analysis aspects of automatic essay grading.