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Build Evidence Chain Relational Model Based on Chinese Judgment Documents

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 728))

Abstract

The reasoning of judgment documents is the touchstone of justice. Attaching importance to the reasoning of judgment documents is essentially the embodiment of judiciary civilization. In order to promote the reform of judgment documents reasoning and improve the level of it, the technology of automated judgment documents reasoning evaluation has to be studied on. How to build evidence chain relational model is the basis and key to this technology. An approach is proposed to build evidence chain relational model based on Chinese judgment documents. Using automated text preprocessing for Chinese judgment documents creates semi-structured XML documents and extracts evidence set and fact set. The method of key elements extraction is used to obtain the keywords of evidence and facts. Calculating the degree of association can work out the connection points of evidence chain relational model. Tabular display and graphical display of evidence chain relational model can be realized.

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Acknowledgements

This work was supported by the Key Program of Research and Development of China (2016YFC0800803).

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Correspondence to Jidong Ge .

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Kong, S. et al. (2017). Build Evidence Chain Relational Model Based on Chinese Judgment Documents. In: Zou, B., Han, Q., Sun, G., Jing, W., Peng, X., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-10-6388-6_8

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  • DOI: https://doi.org/10.1007/978-981-10-6388-6_8

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6387-9

  • Online ISBN: 978-981-10-6388-6

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