{"title":"法院判决中的定义——自动提取和本体获取","authors":"Stephan Walter, Manfred Pinkal","doi":"10.3233/978-1-58603-942-4-95","DOIUrl":null,"url":null,"abstract":"This paper deals with the use of computational linguistic analysis techniques for information access and ontology learning within the legal domain. We present a rule-based approach for extracting and analysing definitions from parsed text and evaluate it on a corpus of about 6000 German court decisions. The results are applied to improve the quality of a text based ontology learning method on this corpus. This paper describes research within the project CORTE funded by the German Science Foundation, DFG PI 154/10-1 (http://www.coli.uni-saarland.de/projects/corte/)","PeriodicalId":186567,"journal":{"name":"Law, Ontologies and the Semantic Web","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Definitions in Court Decisions - Automatic Extraction and Ontology Acquisition\",\"authors\":\"Stephan Walter, Manfred Pinkal\",\"doi\":\"10.3233/978-1-58603-942-4-95\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with the use of computational linguistic analysis techniques for information access and ontology learning within the legal domain. We present a rule-based approach for extracting and analysing definitions from parsed text and evaluate it on a corpus of about 6000 German court decisions. The results are applied to improve the quality of a text based ontology learning method on this corpus. This paper describes research within the project CORTE funded by the German Science Foundation, DFG PI 154/10-1 (http://www.coli.uni-saarland.de/projects/corte/)\",\"PeriodicalId\":186567,\"journal\":{\"name\":\"Law, Ontologies and the Semantic Web\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Law, Ontologies and the Semantic Web\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3233/978-1-58603-942-4-95\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Law, Ontologies and the Semantic Web","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/978-1-58603-942-4-95","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
摘要
本文讨论了在法律领域中使用计算语言分析技术进行信息访问和本体学习。我们提出了一种基于规则的方法,用于从解析文本中提取和分析定义,并在大约6000个德国法院判决的语料库上对其进行评估。研究结果用于提高基于文本的本体学习方法在该语料库上的质量。本文描述了由德国科学基金会DFG PI 154/10-1 (http://www.coli.uni-saarland.de/projects/corte/)资助的CORTE项目中的研究。
Definitions in Court Decisions - Automatic Extraction and Ontology Acquisition
This paper deals with the use of computational linguistic analysis techniques for information access and ontology learning within the legal domain. We present a rule-based approach for extracting and analysing definitions from parsed text and evaluate it on a corpus of about 6000 German court decisions. The results are applied to improve the quality of a text based ontology learning method on this corpus. This paper describes research within the project CORTE funded by the German Science Foundation, DFG PI 154/10-1 (http://www.coli.uni-saarland.de/projects/corte/)