The Representation of Unreliable General Knowledge for Narrative Understanding

叙事理解需要使用大量的 关于词义、世界和叙事的一般知识 结构 这种知识通常是不可靠的 （“可废止”），并提出了困难的代表性问题。 这项研究的目的是开发一种直接，自然， 这种知识的形式上可解释的表示， 以知识的英语表述为起点， 代表性，并系统地翻译（最终， 自动地）到正式的表示。 某些类别 的英语类属句已经可以直接映射到 逻辑，但研究将大大扩展这些类， 允许几乎任何可以用英语表达的概括， 直接正式化。 结果将不仅是理论上的 洞察不可靠的一般知识的本质，但 也进一步发展了一种可扩展的叙事理解 系统，其一般知识库可以通过 英文输入。

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.