使用语法提取语义关系

Kasper Welbers, W. Atteveldt, J. Kleinnijenhuis
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引用次数: 2

摘要

在通信科学中,大多数常用的自动文本分析方法都忽略了句法信息,只关注单个单词的出现和共现,有时也关注n-gram。这对于某些目的来说非常有效,但是对语义关系的细粒度分析(比如谁对谁做什么,根据什么来源做什么)造成了限制。一种经过测试的有效方法可以超越这种词袋假设,即使用基于规则的方法来标记和提取依赖树中的语法模式。虽然这种方法可以用于各种目的,但由于缺乏专用的和可访问的工具,它的应用受到阻碍。在本文中,我们介绍了rsyntax R包,它旨在使R用户更容易和更直观地使用依赖树,并提供了一个框架来组合多个规则,以可靠地提取有用的语义关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extracting semantic relations using syntax
Most common methods for automatic text analysis in communication science ignore syntactic information, focusing on the occurrence and co-occurrence of individual words, and sometimes n-grams. This is remarkably effective for some purposes, but poses a limitation for fine-grained analyses into semantic relations such as who does what to whom and according to what source. One tested, effective method for moving beyond this bag-of-words assumption is to use a rule-based approach for labeling and extracting syntactic patterns in dependency trees. Although this method can be used for a variety of purposes, its application is hindered by the lack of dedicated and accessible tools. In this paper we introduce the rsyntax R package, which is designed to make working with dependency trees easier and more intuitive for R users, and provides a framework for combining multiple rules for reliably extracting useful semantic relations.
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