Abstract
This paper presents a new term extraction approach using relevance between term candidates calculated by a link analysis based method. Different types of relevance are used separately or jointly for term verification. The proposed approach requires no prior domain knowledge and no adaptation for new domains. Consequently, the method can be used in any domain corpus and it is especially useful for resource-limited domains. Evaluations conducted on two different domains for Chinese term extraction show significant improvements over existing techniques and also verify the efficiency and relative domain independent nature of the approach. © 2009 ACL and AFNLP.
Cite
CITATION STYLE
Yang, Y., Zhao, T., Lu, Q., Zheng, D., & Yu, H. (2009). Chinese term extraction using different types of relevance. In ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. (pp. 213–216). Association for Computational Linguistics (ACL). https://doi.org/10.3115/1667583.1667649
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