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Wanderlust:使用依赖语法模式从自然语言文本中提取语义关系

Wanderlust: Extracting Semantic Relations from Natural Language Text Using Dependency Grammar Patterns
课程网址: http://videolectures.net/semsearch09_akbik_wesr/  
主讲教师: Jürgen Broß, Alan Akbik
开课单位: 柏林自由大学
开课时间: 2009-05-27
课程语种: 英语
中文简介:
现代信息技术中大量的应用可以从覆盖面广、机器可访问的知识库中获益。然而,今天的大部分知识是以非结构化数据的形式提供的,主要是纯文本。作为利用这些数据的第一步,我们提出了一种自动从自然语言文本中提取语义关系的算法Wanderlust。这一过程使用了较深的语言模式,这些模式在句子的依赖语法基础上逐渐形成。由于其语言性质,该方法以一种无监督的方式执行,不受任何特定类型的语义关系的限制。在一个案例研究中检验了该方法的适用性,并将其应用于从英语维基百科语料库生成语义维基的任务中。我们提出了一个详尽的讨论,从这个特殊的案例研究获得的见解,包括考虑的方法的普遍性。
课程简介: A great share of applications in modern information technology can bene t from large coverage, machine accessible knowledge bases. However, the bigger part of todays knowledge is provided in the form of unstructured data, mostly plain text. As an initial step to exploit such data, we present Wanderlust, an algorithm that automatically extracts semantic relations from natural language text. The procedure uses deep linguistic patterns that are de ned over the dependency grammar of sentences. Due to its linguistic nature, the method performs in an unsupervised fashion and is not restricted to any speci c type of semantic relation. The applicability of the proposed approach is examined in a case study, in which it is put to the task of generating a semantic wiki from the English Wikipedia corpus. We present an exhaustive discussion about the insights obtained from this particular case study including considerations about the generality of the approach.
关 键 词: 现代信息技术; 计算机科学; 自然语法; 依赖语法
课程来源: 视频讲座网
最后编审: 2019-10-28:lxf
阅读次数: 38