This approach is similar to the one above but uses the 10 manually-chosen most-polite generic utterances as candidate responses for each context.
we collect all ground-truth polite requests from the Stanford Politeness Corpus, split each one into sentences, and then manually pick the most frequent 10 polite sentences.