Automatic Selection of Defining Vocabulary in an Explanatory Dictionary

Automatic Selection of Defining Vocabulary in an Explanatory Dictionary
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自动选择解释词典中的定义词汇

DOI:
10.1007/3-540-45715-1_29
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发表时间:
2002
期刊:
Conference on Intelligent Text Processing and Computational Linguistics
影响因子:
--
通讯作者:
G. Sidorov
G. Sidorov
中科院分区:
--
文献类型:
--
作者:
Alexander Gelbukh;G. Sidorov

文献摘要

被引文献

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在将传统的(面向人类的)解释性词典转换成用于自动推理系统的语义数据库中的问题之一是,这样的数据库不应该在其定义中包含任何循环,而传统的词典通常包含它们。循环可以通过声明某些词是“原始的”(没有定义)来消除,而所有其他的词都是根据这些词来定义的。提出了一种检测定义中的循环并选择最小(尽管不是最小)定义词汇表的方法。不同的策略选择的定义词汇的单词进行了讨论和实验数据的真实的字典。
One of the problems in converting a conventional (human-oriented) explanatory dictionary into a semantic database intended for the use in automatic reasoning systems is that such a database should not contain any cycles in its definitions, while the traditional dictionaries usually contain them. The cycles can be eliminated by declaring some words “primitive” (having no definition) while all other words are defined in terms of these ones. A method for detecting the cycles in definitions and selecting a minimal (though not the smallest) defining vocabulary is presented. Different strategies for selecting the words for the defining vocabulary are discussed and experimental data for a real dictionary are presented.