Word Relevance Computation For Noun-Noun Metaphor Recognition

Metaphor in languages is an analogy-based meaning transfer phenomenon that impacts on question answering, machine translation and other tasks requiring deep semantic analysis. Noun-noun metaphor is a common type of metaphor and is studied in noun-noun semantic analysis. Lexical knowledge bases are important knowledge source for metaphor recognition and understanding. This paper proposes a method to compute word relevance for noun-noun metaphor recognition with the help of a lexical knowledge base, which shows good performance in the experiments. Furthermore, we investigate the representation of metaphor in lexical knowledge bases and its impact on the construction of lexical knowledge bases.