#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
<term>
rule-based systems
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and the
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baselines
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, and as well as the
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hand-crafted
#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.