• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Relation Extraction based on Composite Kernel combining Pattern Similarity of Predicate-Argument Structure


Chang-Hoo Jeong, Sung-Pil Choi, Yun-Soo Choi, Sa-Kwang Song, Hong-Woo Chun, Journal of Internet Computing and Services, Vol. 12, No. 5, pp. 73-86, Oct. 2011
Full Text:
Keywords: Convolution Parse Tree Kernel, Predicate-Argument Structure Pattern, Relation Extraction, Composite Kernel

Abstract

Lots of valuable textual information is used to extract relations between named entities from literature. Composite kernel approach is proposed in this paper. The composite kernel approach calculates similarities based on the following information:(1) Phrase structure in convolution parse tree kernel that has shown encouraging results. (2) Predicate-argument structure patterns. In other words, the approach deals with syntactic structure as well as semantic structure using a reciprocal method. The proposed approach was evaluated using various types of test collections and it showed the better performance compared with those of previous approach using only information from syntactic structures. In addition, it showed the better performance than those of the state of the art approach.


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Cite this article
[APA Style]
Jeong, C., Choi, S., Choi, Y., Song, S., & Chun, H. (2011). Relation Extraction based on Composite Kernel combining Pattern Similarity of Predicate-Argument Structure. Journal of Internet Computing and Services, 12(5), 73-86.

[IEEE Style]
C. Jeong, S. Choi, Y. Choi, S. Song, H. Chun, "Relation Extraction based on Composite Kernel combining Pattern Similarity of Predicate-Argument Structure," Journal of Internet Computing and Services, vol. 12, no. 5, pp. 73-86, 2011.

[ACM Style]
Chang-Hoo Jeong, Sung-Pil Choi, Yun-Soo Choi, Sa-Kwang Song, and Hong-Woo Chun. 2011. Relation Extraction based on Composite Kernel combining Pattern Similarity of Predicate-Argument Structure. Journal of Internet Computing and Services, 12, 5, (2011), 73-86.