一种领域合成词的抽取方法

构建领域本体的首要任务是获取领域相关的概念,这些概念很多是由常用词典库中没有收录的领域合成词组成,因此抽取领域合成词对于领域本体的构建至关重要.本文基于语言规则和统计技术,提出一种结合改进互信息和语言模板的领域合成词抽取方法.首先利用改进的互信息算法抽取由多字词单位构成的高频次候选领域合成词,在此基础上,利用语言模板匹配抽取低频次候选领域合成词,最后由专家进行检验,得到领域合成词集.实验结果表明,该算法的领域合成词提取准确率达到88.22%,适用于从大规模网页文本中自动高效地抽取领域合成词.

A method of domain compound words extraction

The primary task of constructing domain ontology is to obtain the relevant domain concepts. Many of these concepts are composed of domain compound words which are not included in the common dictionaries. So it is essential to extract domain compound words for the construction of domain ontology. Based on linguistic rules and statistical techniques, a hybrid extraction method combining the improved mutual information and language templates is proposed. Firstly, it extracts high frequency candidate domain compound words formed by a multi-word units using improved mutual information algorithm. On this basis, it extracts low frequency candidate domain compound words by language templates. Finally, domain compound words can be obtained through experts check. Experimental results show that the algorithm achieves a precision of 88.22%, which indicates this technique is fit for automatically and effectually extracting domain compound words from large corpora.