A Discourse-Base Theory of Inference for Natural Language Processing

自然语言处理的基于话语的推理理论

• 批准号: 9123336
• 负责人: Robert Wilensky
• 金额: $ 15.76万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-04-15 至 1995-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9123336&HistoricalAwards=false
• 关键词: Discourse; Base; Theory; Inference; Natural

This project is concerned with developing a model of natural language understanding in which the inference machinery is based on discourse principles. In particular, a theory of text interpretation is develop. This theory computers an interpretation that conforms to plausible goals of a speaker and is most likely to be intended given the utterances than any other interpretation. The system is implemented by postulating an access/selection.integration paradigm. It is allowed for probabilistic considerations to be compiled into how elements are indexed, rather than exist as part of a run-time mechanism.

这个项目致力于开发一个自然语言理解模型，其中的推理机制是基于话语原则的。特别是，发展了一种文本解释理论。这一理论计算出一种符合说话人合理目标的解释，而且比任何其他解释都更有可能是给定话语的意图。该系统通过假定访问/选择集成范例来实现。它允许将概率考虑因素编译为元素的索引方式，而不是作为运行时机制的一部分存在。