#2115We show that the trainable sentence planner performs better than the rule-based systems and the baselines , and as well as the hand-crafted system.
other,24-1-P01-1056,ak
whether the
<term>
quality
</term>
of
<term>
utterances
</term>
produced with trainable components
#2037Techniques for automatically training modules of a natural language generator have recently been proposed, but a fundamental concern is whether the quality of utterances produced with trainable components can compete with hand-crafted template-based or rule-based approaches.