面向隐喻识别的词语抽象性度量

Measuring Word Abstractness for Metaphor Recognition

隐喻通常借助具体的概念来表达抽象的概念。如果能判断出文本中词语所指的概念是具体还是抽象的,即度量出词语的抽象程度,那么这将为隐喻的机器识别提供重要的依据。该文提出基于跨语言知识迁移的汉语词语抽象性度量方法,把英语中的词语抽象性知识迁移到汉语中来。提出基于词语抽象性知识的隐喻识别方法,并详细分析了词语抽象性与隐喻之间的关系。实验表明,知识迁移是可行的,基于抽象性知识的隐喻识别有较高的准确率,可以有效提高从真实文本中抽取隐喻的效率。

In metaphors, abstract things are usually described in terms of concrete things. If we can decide whether a word is concrete or abstract, we will provide useful clues for automatic metaphor recognition. This paper proposed a cross-lingual knowledge transfer method to adapt English word abstractness knowledge to Chinese. Then we propose a metaphor recognition method based on word abstractness and analyze in detail the relation between word abstractness and metaphor. Experimental results show that, the cross-lingual knowledge transfer method is feasible to measure Chinese word abstractness, the abstractness based metaphor recognition method achieves a high precision score, and it can improve the efficiency of metaphor extraction from real texts.