Propositional and Non-at-issue Content in Text Generation: Exploring the QUD–Perspective

基于Question Under Discussion（QUD）的语篇构建方法有助于对一系列不同的语用现象进行简洁的分析，但到目前为止，它们在自然语言生成的研究中并没有得到太多的关注。我们要调查的描述性和解释性的力量的QUD方法生成的短路测试报告。从解释到生成的视角进行转换，提出了关于假设QUD和QUD结构合理性的计算和理论研究问题。为此，我们考察了建立话语关系的条件、连接词和实现相应话语标记的条件、句子聚合、评价性副词的使用以及焦点的确定，由于这些任务的内容确定和语言实现，在原则上，可以从相应的QUD为基础的理论话语structure.We开发了一个NLG系统的概念证明，生成短的道路测试报告有关汽车和摩托车从数据库中的信息和QUD从文本中派生。

Question under discussion (QUD)-based approaches to discourse structuring facilitate concise analyses of a bunch of different pragmatic phenomena but up to now, they did not receive much attention in research on natural language generation. We want to investigate the descriptive and explanatory strength of the QUD approach for the generation of short road test reports. Inverting the perspective from interpretation to generation raises several new computationally and theoretically motivated research questions concerning the justification of assumed QUDs and QUD structures.For this, we investigate the conditions for establishing discourse relations, connectives and realizing corresponding discourse markers, sentence aggregation, the use of evaluative adverbs, and determining the focus, since these tasks for content determination and linguistic realization can, in principle, be derived from corresponding QUD-based theories of discourse structuring.We develop an NLG system as proof-of-concept that generates short road test reports about cars and motorbikes from information in a database and QUDs derived from texts.