| tech,7-1-P01-1056,ak | automatically training modules of a <term> | natural language generator | </term> have recently been proposed , but | #2020 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,7-2-P01-1056,ak | paper We experimentally evaluate a <term> | trainable sentence planner | </term> for a <term> spoken dialogue system | #2058 In this paper We experimentally evaluate a trainable sentence planner for a spoken dialogue system by eliciting subjective human judgments. | |
| tech,4-4-P01-1056,ak | planners </term> . We show that the <term> | trainable sentence planner | </term> performs better than the <term> rule-based | #2104 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. |
