Exploring Relevant Parts Between Legal Documents Using Substructure Matching

Author:

Komamizu Takahiro,Fujioka Kazuya,Ogawa Yasuhiro,Toyama Katsuhiko

Publisher

Springer International Publishing

Reference18 articles.

1. Arora, P., Hossari, M., Maldonado, A., Conran, C., Jones, G.J.F.: Challenges in the development of effective systems for professional legal search. In: Proceedings of ProfS/KG4IR/DATA:SEARCH@SIGIR 2018, pp. 29–34 (2018)

2. Augsten, N., Barbosa, D., Böhlen, M.H., Palpanas, T.: Efficient top-k approximate subtree matching in small memory. IEEE Trans. Knowl. Data Eng. 23(8), 1123–1137 (2011)

3. Bille, P.: A survey on tree edit distance and related problems. Theoret. Comput. Sci. 337(1–3), 217–239 (2005)

4. Cobena, G., Abiteboul, S., Marian, A.: Detecting changes in XML documents. In: Proceedings of ICDE 2002, pp. 41–52 (2002)

5. Fujioka, K., Nakamura, M., Ogawa, Y., Ohno, T., Toyama, K.: Search method for ordinances and rules in Japanese local governments based on distributed representation. In: Proceedings of KSE 2017, pp. 185–190 (2017)

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