Natural Language Dialogue group

We take a conversational character trained on a set of linked
question-answer pairs authored by hand, and augment its
training data by adding sets of question-answer pairs which
are generated automatically from texts on different topics.
The augmented characters can answer questions about the
new topics, at the cost of some performance loss on ques-
tions about the topics that the original character was trained
to answer.