To ensure consistency in annotation, we randomly select 100 essays (187 instances) for annotation by both annotators.
we train a multiclass classifier on our data set using a feature set composed solely of unigram, bigram, and trigram features, each of which indicates the number of times the corresponding n-gram is present in the associated essay.