Word relevance computation for noun-noun metaphor recognition | |
Jia, Yuxiang ; Zan, Hongying ; Fan, Ming ; Yu, Shiwen ; Wang, Zhimin | |
2014 | |
英文摘要 | 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. ? Springer International Publishing Switzerland 2014; EI; CPCI-S(ISTP); CPCI-SSH(ISSHP); 0 |
语种 | 英语 |
DOI标识 | 10.1007/978-3-319-14331-6_25 |
内容类型 | 其他 |
源URL | [http://ir.pku.edu.cn/handle/20.500.11897/412551] ![]() |
专题 | 信息科学技术学院 |
推荐引用方式 GB/T 7714 | Jia, Yuxiang,Zan, Hongying,Fan, Ming,et al. Word relevance computation for noun-noun metaphor recognition. 2014-01-01. |
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