Computational Models for Metaphor Comprehension: a Survey
隐喻理解的计算模型综述

Metaphor is prevalent in natural language. Researchers have realized that it is the focus of mind and language mechanism. The comprehension of metaphor by machine will be a bottle-neck problem in natural language understanding and machine translation. In this paper, current available computational models for metaphor comprehension are reviewed. According to their computational methods, the models are divided into preference semantics based, metaphorical knowledge based, logic based, and corpus based approaches. The advantage and limitation of each model are also analyzed. At last, prospect and advice to computational model for metaphor comprehension are proposed. As a conclusion, the research of computational model for Chinese metaphors is important for Chinese information processing.