An approach toward answering English questions from text

R. F. Simmons, John F. Burger, R. E. Long
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引用次数: 16

Abstract

Research on question answering by Raphael, Black, and Elliott, and our own work on Protosynthex II has shown that question-answering algorithms can be most easily written if the text source is in the form of simple, explicitly structured sets of subject-verb-nominal strings. Question-answering algorithms that have thus far been developed include word- and structure-matching operations and some few logical inference functions. All of the systems cited have in some fashion limited their input language to simple subject-verb-nominal strings, thus eliminating many problems of syntactic analysis and providing a normalized form for language data.
从课文中回答英语问题的方法
Raphael、Black和Elliott对问答的研究,以及我们自己在Protosynthex II上的工作表明,如果文本源是简单的、明确结构化的主-动词-名字符串集,那么问答算法可以最容易地编写。迄今为止开发的问答算法包括词和结构匹配操作以及一些逻辑推理功能。所引用的所有系统都以某种方式将其输入语言限制为简单的主-动-名字符串,从而消除了语法分析的许多问题,并为语言数据提供了一种规范化的形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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