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| Automatic Recommendation of Judgment Documents Based on Structural Content Features |
| Liang Zhu1, Shen Si2, Ye Wenhao3, Wang Dongbo1 |
1.College of Information Management, Nanjing Agricultural University, Nanjing 210095
2.School of Economics & Management, Nanjing University of Science and Technology, Nanjing 210094
3.School of Information Management, Nanjing University, Nanjing 210023 |
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Abstract In the existing judgment document retrieval system, non-legal professionals encounter difficulties while trying to retrieve documents. At present, intelligent searches in the legal field can rely on the recommendations and classifications of legal provisions based on judgment documents without researching the automatic recommendations of judgment documents. Therefore, this study proposes a method to intelligently recommend judgment documents using news texts based on similar news methods. This article combines current research work to summarize the structure-specific and content characteristics of judgment documents, use the text of news articles, simulate the search query of non-legal professional users, and construct a corpus of judgment documents with structural content features to recommend automatically related judgment documents. The results show that after extracting the corresponding feature words using the content structure of the court opinion of judgment documents, the retrieval model performs well when the LambdaMART model conducts text matching, which is superior to the traditional full-text retrieval technology.
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Received: 23 May 2020
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