| other,24-1-P01-1056,ak | whether the <term> quality </term> of <term> | utterances | </term> produced with trainable components | #2037 Techniques 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 </term> and the <term> | baselines | </term> , and as well as the <term> hand-crafted | #2115 We show that the trainable sentence planner performs better than the rule-based systems and the baselines , and as well as the hand-crafted system. |
