This paper presents a maximum entropy (ME)-based model for Chinese noun phrase metaphor recognition. The metaphor recognizing process will be viewed as a classification task between metaphor and literal meaning. Our experiments show that the metaphor recognizer based on the ME method is significantly better than the Example-based methods within the same context windows. In addition, performance is further improved by introducing additional features into the ME model and achieves good results in window (-2,+2). © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Wang, Z., Wang, H., Duan, H., Han, S., & Yu, S. (2006). Chinese noun phrase metaphor recognition with maximum entropy approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3878 LNCS, pp. 235–244). Springer Verlag. https://doi.org/10.1007/11671299_25
Mendeley helps you to discover research relevant for your work.