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A Relationship Extraction Method From Literary Fiction Considering Korean Linguistic Features ...
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Abstract:
The knowledge of the relationship between characters can help readers to understand the overall story or plot of the literary fiction. In this paper, we present a method for extracting the specific relationship between characters from a Korean literary fiction. Generally, methods for extracting relationships between characters in text are statistical or computational methods based on the sentence distance between characters without considering Korean linguistic features. Furthermore, it is difficult to extract the relationship with direction from text, such as one-sided love, because they consider only the weight of relationship, without considering the direction of the relationship. Therefore, in order to identify specific relationships between characters, we propose a statistical method considering linguistic features, such as syntactic patterns and speech verbs in Korean. The result of our method is represented by a weighted directed graph of the relationship between the characters. Furthermore, we expect ... : {"references": ["D. K. Elson, D. Nicholas and K. R. McKeown, \"Extracting social networks from literary fiction\", Proceedings of the 48th annual meeting of the association for computational linguistics, pp. 138-147, Jul 2010", "H. He, D. Barbosa and G. Kondrak, \"Identification of Speakers in Novels\", ACL (1), pp.1312-1320, Aug 2013", "G. M. Park, S. H. Kim and H. G. Cho, \"Complex system analysis of social networks extracted from literary fictions\" International Journal of Machine Learning and Computing, vol.3, pp. 107-111, Feb 2013.", "C. Y. Jung, Y. H. Seo, \"Machine Translation of Korean-to-English spoken language Based on Semantic Patterns\", Korea Information Processing Society, vol. 5, issue 9, pp. 2361-2368, 1998.", "H. G. Lee, M.S. Choi, H. S. Kim, \"One-Class Classification Model Based on Lexical Information and Syntactic Patterns\", Jour nal of KIISE, vol. 42, pp. 817-822, 2015.", "H. G. Yoon, S. B. Park, \"Pattern and Instance Generation for Self-knowledge Learning in Korean\" Journal of ...
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Keyword:
Data mining; Korean linguistic feature; literary fiction; relationship extraction.
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URL: https://zenodo.org/record/1112312
https://dx.doi.org/10.5281/zenodo.1112312
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A Relationship Extraction Method From Literary Fiction Considering Korean Linguistic Features ...
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