Memory-Based Parsing
Memory-Based Parsing
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DOI：
10.1016/s0004-3702(83)80019-8
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发表时间：
1983-08
期刊：
影响因子：
--
通讯作者：
Michael Lebowitz
中科院分区：
文献类型：
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作者：
Michael Lebowitz
基于记忆的解析技术的应用可以开发出健壮的文本理解系统。本文介绍了尽可能扩展这些技术的实验。这里描述的是综合部分解析器（IPP）所使用的解析方法，IPP是一种旨在从大量新闻故事中读取和归纳的计算机系统。这些方法包括自上而下的，“通用的，从高级内存结构生成的预测，以及简单的，过程性的自下而上的算法来处理语言特定的问题。给出了一个详细的例子。
Robust text understanding systems can be developed by focusing on the application of memory-based parsing techniques. This paper describes an experiment in extending these techniques as far as possible. Described here are the parsing methods used by the Integrated Partial Parser (IPP), a computer system designed to read and generalize from large numbers of news stories. These methods include top-down, «generic, predictions generated from high-level memory structures, and simple, procedural bottom-up heuristics to handle language-specific problems. A detailed example is presented.