梳理对话处理中问答议题模型的研究进展
A Survey of QUD Models for Discourse Processing
- 系统归纳用于文本对话分析的问答议题建模方法
- 对比分析QUD与RST、PDTB、SDRT等主流框架的关系
- 适合关注对话结构与语义推理的研究者阅读
问答议题（QUD）最初是语言学分析框架，近年来在自然语言处理领域受到越来越多关注。为实现对话处理中的QUD，已有多种模型被提出。本文综述了这些模型，重点聚焦于书面文本的应用，并探讨了QUD与主流对话框架（如RST、PDTB和SDRT）之间的关系。文章还提出了若干有待进一步研究的问题。
原文摘要 · Abstract (English)
Question Under Discussion (QUD), which is originally a linguistic analytic framework, gains increasing attention in the community of natural language processing over the years. Various models have been proposed for implementing QUD for discourse processing. This survey summarizes these models, with a focus on application to written texts, and examines studies that explore the relationship between QUD and mainstream discourse frameworks, including RST, PDTB and SDRT. Some questions that may require further study are suggested.
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