Based on the success of Larkey's experiments, and McCallum and Nigam's findings that the multivariate Bernoulli model performs better on texts with small vocabularies, this approach would seem to be the likely choice when dealing with data sets of essay responses.
we have adopted this approach in order to build a thesis statement classifier that can select from an essay the sentence that is the most likely candidate to be labeled as thesis statement.