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A Metaphor Comprehension Method Based on Culture-Related Hierarchical Semantic Model
Neural Processing Letters ( IF 2.6 ) Pub Date : 2020-03-16 , DOI: 10.1007/s11063-020-10227-6
Chang Su , Ying Peng , Shuman Huang , Yijiang Chen

Usually a metaphor is encoded with rich cultural connotation, which signifies that culture plays a key factor in truly comprehending a metaphorically-used utterance. Given that, we developed a culture-related hierarchical semantic model to perform metaphor comprehension. Based on the character of a metaphor, to better represent context and background knowledge, we embedded word-level, attribute-level, perception-level, and context-level information into the model. Moreover, in the attribute-level, a culture mapping is developed to better use cultural information. We use a random walk algorithm to search for the most reasonable comprehension results. The model was tested in a nominal Chinese metaphor corpus. The results show the effectiveness of the model and demonstrate its advantages in understanding cultural metaphors.

中文翻译:

基于文化相关层次语义模型的隐喻理解方法

通常,隐喻具有丰富的文化内涵,这表示文化在真正理解隐喻使用的话语中起着关键作用。鉴于此,我们开发了一种与文化相关的分层语义模型来执行隐喻理解。基于隐喻的特征,为了更好地表示上下文和背景知识,我们将单词级别,属性级别,感知级别和上下文级别的信息嵌入到模型中。此外,在属性级别,开发了文化映射以更好地使用文化信息。我们使用随机游走算法来搜索最合理的理解结果。该模型在名义上的汉语隐喻语料库中进行了测试。结果证明了该模型的有效性,并证明了该模型在理解文化隐喻方面的优势。
更新日期:2020-03-16
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