使用自动定理证明器的名称提取

Tim vor der Brück, H. Helbig
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引用次数: 4

摘要

本文提出了一种真正面向语义的名称关系提取方法。它直接在语义网络(SNs)上操作,而不是语法树或表面表示。这些SNs是通过深入的语言句法语义分析从文本(在我们的例子中是德语维基百科)中衍生出来的。在其他组件中,通过使用一个自动定理证明器来执行别名/全称对的提取,该定理证明器的工作基于一组逻辑公理。相应的算法与一种富含语义信息的浅层方法相结合。通过采用逻辑方法,可以大大提高与抽取关系相关的语义模式的查全率和查准率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Meronymy Extraction Using An Automated Theorem Prover
In this paper we present a truly semantic-oriented approach for meronymy relation extraction. It directly operates, instead of syntactic trees or surface representations, on semantic networks (SNs). These SNs are derived from texts (in our case, the German Wikipedia) by a deep linguistic syntactico-se mantic analysis. The extraction of meronym/holonym pairs is carried out by using, among other components, an automated theorem prover, whose work is based on a set of logical axioms. The corresponding algorithm is combined with a shallow approach enriched with semantic information. Through the employment of logical methods, the recall and precision of the semantic patterns pertinent to the extracted relations can be increased considerably.
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