基于假设推理的自然语言处理框架

V. Dahl, A. Fall, Stephen Rochefort, Paul Tarau
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引用次数: 7

摘要

我们研究了一种叫做假设语法的新型逻辑语法的一些自然语言用法,这种语法特别适合于假设推理。它们基于当前延续的直觉和线性含义,这允许我们在假设下遵循给定的计算分支,这些假设在回溯发生时消失。我们展示了假设语法如何简化一些关键计算语言学问题的处理,例如长距离依赖关系,同时促进更可读的语法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hypothetical reasoning based framework for NL processing
We examine some natural language uses of a new type of logic grammars called Assumption Grammars, particularly suitable for hypothetical reasoning. They are based on intuitionistic and linear implications scoped over the current continuation, which allow us to follow given branches of the computation under hypotheses that disappear when and if backtracking takes place. We show how Assumption Grammars can simplify the treatment of some crucial computational linguistics problems, e.g. long distance dependencies, while simultaneously facilitating more readable grammars.
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