Salience-driven text planning

被引：0
|
作者：
Chiarcos, C [1 ]
Stede, M [1 ]
机构：
[1] Univ Potsdam, Dept Linguist, D-14415 Potsdam, Germany
来源：
NATURAL LANGUAGE GENERATION: PROCEEDINGS | 2004年 / 3123卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We present an algorithm for hierarchical text planning of paragraphs involving object descriptions, comparisons and recommendations. Building on previous work on bottom-up text planning and user-tailored text generation, we develop a numerical model of 'propositional salience' to capture both speaker's intentions and local coherence in a single framework for generating complex discourse structures.
引用
收藏
页码：21 / 30
页数：10
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