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Natural language analyzing apparatus and method, and construction of a knowledge base for natural language analysis

机译:自然语言分析设备和方法,以及自然语言分析知识库的构建

摘要

A system for resolving structural ambiguities in syntactic analysis of natural language, which ambiguities are caused by prepositional phrase attachment, relative clause attachment, and other modifier-modifiee relationships in sentences. The system uses instances of dependency (modification relationship) structures extracted from a terminology dictionary as a knowledge base. Structural ambiguity is represented by indicating that a word in a sentence has several words as candidate modifiees. The system resolves such ambiguity by 1) first searching the knowledge base, which contains dependency information in the form of tree structures, for dependencies between the word and each of its possible modifiees, 2) then assigning an order of preference to these dependencies by means of a path search in the tree structures, and 3) finally selecting the most preferable dependency as the modifiee. The sentences can be analyzed by a parser and transformed into dependency structures by the system. The knowledge base can be constructed automatically, since the source of knowledge exists in the form of texts, and knowledge bootstrapping can be realized by adding the outputs of the system to its knowledge base.
机译:一种用于解决自然语言句法分析中结构歧义的系统,该歧义是由介词短语附件,相对从句附件以及句子中的其他修饰语-修饰词关系引起的。该系统使用从术语词典中提取的相关性(修改关系)结构实例作为知识库。通过指示句子中的单词有几个单词作为候选修饰词来表示结构歧义。该系统通过以下方法解决这种歧义性:1)首先搜索知识库(其中包含树结构形式的依赖信息),以查找单词及其可能的修饰词之间的依赖; 2)然后通过以下方式为这些依赖分配优先顺序:在树形结构中进行路径搜索的过程,以及3)最后选择最可取的依赖项作为修改。句子可以由解析器进行分析,并由系统转换为依存结构。由于知识的来源以文本形式存在,因此可以自动构建知识库,并且可以通过将系统的输出添加到知识库中来实现知识引导。

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