We should remember that there is also a possible unsupervised notion of template learning, developed in a Sheffield PhD thesis by Collier [17], one that can be thought of as yet another application of the old technique of Luhn [42] to locate, in a corpus, statistically significant words and use those to locate the sentences in which they occur as key sentences. This has been the basis of a range of summarisation algorithms and Collier proposed a form of it as a basis for unsupervised template induction, namely that those sentences, if they contained corpus-significant verbs, would also contain sentences corresponding to templates, whether or not yet known as such to the user. Collier cannot be considered to have proved that such learning is effective only that some prototype results can be obtained.