Techniques for automatically training modules of a
<term>
natural language generator
</term>
have recently been proposed , but a fundamental concern is whether the
<term>
quality
</term>
of
<term>
utterances
</term>
produced with trainable components can compete with
<term>
hand-crafted template-based or rule-based approaches
</term>
.
#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.
tech,15-4-P01-1056,ak
We show that the
<term>
trainable sentence planner
</term>
performs better than the
<term>
rule-based systems
</term>
and the
<term>
baselines
</term>
, and as well as the
<term>
hand-crafted system
</term>
.
#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.
