| tool,19-2-N01-1003,bq | methodology for automatically training <term> | SPoT | </term> on the basis of <term> feedback </term> | #1354 In this paper, we present SPoT, a sentence planner, and a new methodology for automatically trainingSPoT on the basis of feedback provided by human judges. |
| model,3-6-N01-1003,bq | plan </term> . The <term> SPR </term> uses <term> | ranking rules | </term> automatically learned from <term> training | #1425 The SPR usesranking rules automatically learned from training data. |
| measure(ment),13-7-N01-1003,bq | select a <term> sentence plan </term> whose <term> | rating | </term> on average is only 5 % worse than | #1446 We show that the trained SPR learns to select a sentence plan whoserating on average is only 5% worse than the top human-ranked sentence plan. |
