{"title":"一种自动构建越南法律文本的方法","authors":"Thinh D. Bui, Quoc B. Ho","doi":"10.1109/IALP.2014.6973500","DOIUrl":null,"url":null,"abstract":"Recognizing the structures of legal texts is significant to understand texts in this domain. In this paper, we describe a task of automatically structuring Vietnamese legal documents based on our study of this domain in several aspects: their linguistic features and patterns of recognition with trigger sets. The task focuses on the recognition of the logical structures of the documents stored in law database of Vietnam Ministry of Justice. A rule-based approach in association with some patterns is applied and is verified on a manually built corpus. Experimental result got 64.37% on assumption annotation, 64.15% on provision annotation and 75.76% on sanction annotation in the Fβ=1 score on the corpus of Vietnamese Enterprise Law articles.","PeriodicalId":117334,"journal":{"name":"2014 International Conference on Asian Language Processing (IALP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"An approach for automatically structuring Vietnamese legal text\",\"authors\":\"Thinh D. Bui, Quoc B. Ho\",\"doi\":\"10.1109/IALP.2014.6973500\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recognizing the structures of legal texts is significant to understand texts in this domain. In this paper, we describe a task of automatically structuring Vietnamese legal documents based on our study of this domain in several aspects: their linguistic features and patterns of recognition with trigger sets. The task focuses on the recognition of the logical structures of the documents stored in law database of Vietnam Ministry of Justice. A rule-based approach in association with some patterns is applied and is verified on a manually built corpus. Experimental result got 64.37% on assumption annotation, 64.15% on provision annotation and 75.76% on sanction annotation in the Fβ=1 score on the corpus of Vietnamese Enterprise Law articles.\",\"PeriodicalId\":117334,\"journal\":{\"name\":\"2014 International Conference on Asian Language Processing (IALP)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Asian Language Processing (IALP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IALP.2014.6973500\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Asian Language Processing (IALP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IALP.2014.6973500","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An approach for automatically structuring Vietnamese legal text
Recognizing the structures of legal texts is significant to understand texts in this domain. In this paper, we describe a task of automatically structuring Vietnamese legal documents based on our study of this domain in several aspects: their linguistic features and patterns of recognition with trigger sets. The task focuses on the recognition of the logical structures of the documents stored in law database of Vietnam Ministry of Justice. A rule-based approach in association with some patterns is applied and is verified on a manually built corpus. Experimental result got 64.37% on assumption annotation, 64.15% on provision annotation and 75.76% on sanction annotation in the Fβ=1 score on the corpus of Vietnamese Enterprise Law articles.
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