The Representation of Unreliable General Knowledge for Narrative Understanding

对叙事的理解需要使用大量关于词义、世界和叙事结构的一般性知识。这样的知识通常是不可靠的(“不可行的”)，并提出了困难的代表性问题。本研究的目的是为这类知识开发一种直接的、自然的、形式上可解释的表征，将知识的英语表述作为初始表征，并系统地(最终、自动地)转化为形式表征。某些类别的英语通用句子已经可以直接映射到逻辑中，但这项研究将极大地扩展这些类别，使几乎任何可以用英语表达的概括都可以直接形式化。其结果将不仅是对不可靠的一般知识的性质的理论洞察，而且还将进一步开发一个可扩展的叙事理解系统，其一般知识库可以通过英语输入来扩展。

Narrative understanding requires the use of large amounts of generic knowledge about word meanings, the world, and narrative structure. Such knowledge is typically unreliable ("defeasible"), and raises difficult representational problems. The aim of this research is to develop a direct, natural, formally interpretable representation for this kind of knowledge, taking English formulations of the knowledge as an initial representation, and translating systematically (ultimately, automatically) into the formal representation. Certain classes of English generic sentences can already be mapped directly into the logic, but the research will greatly expand these classes, allowing virtually any generalization expressible in English to be directly formalized. The result will be not only theoretical insights into the nature of unreliable general knowledge, but also further development of an extensible narrative understanding system, whose general knowledge base can be expanded through English input.