Abstract
Research of linguistic metaphors is an important branch of natural language processing. Applications (e.g. semantic understanding, machine translation, and information retrieval) are affected if metaphors can not be identified appropriately. This paper presents a three-phase method for recognizing Chinese metaphor phrases from a large-scale corpus. First, we acquire the context of every candidate phrase. Then hierarchical clustering is used to cluster the phrases based on their contextual information. Finally, heuristic rules are used on the clustering result to determine whether a candidate phrase is a metaphor phrase. Experimental results show the method achieves a satisfactory performance.
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Acknowledgments
This work is supported by the National Science Foundation of China (under grant Nos. 91224006 and 61173063) and the Ministry of Science and Technology (under grant No. 201303107).
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Fu, J., Wang, S., Wang, Y., Cao, C. (2016). A Practical Method of Identifying Chinese Metaphor Phrases from Corpus. In: Lehner, F., Fteimi, N. (eds) Knowledge Science, Engineering and Management. KSEM 2016. Lecture Notes in Computer Science(), vol 9983. Springer, Cham. https://doi.org/10.1007/978-3-319-47650-6_4
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DOI: https://doi.org/10.1007/978-3-319-47650-6_4
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