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Automatic Query Generation from Legal Texts for Case Law Retrieval

机译:从法律文本自动生成查询以检索判例法

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This paper investigates automatic query generation from legal decisions, along with contributing a test collection for the evaluation of case law retrieval. For a sentence or paragraph within a legal decision that cites another decision, queries were automatically generated from a proportion of the terms in that sentence or paragraph. Manually generated queries were also created as a ground to empirically compare automatic methods. Automatically generated queries were found to be more effective than the average Boolean queries from experts. However, the best keyword and Boolean queries from experts significantly outperformed automatic queries.
机译:本文研究了根据法律决策自动生成查询,并为评估判例法检索贡献了一个测试集合。对于引用另一判决的法律判决中的句子或段落,查询是根据该句子或段落中一定比例的术语自动生成的。还创建了手动生成的查询,作为根据经验比较自动方法的基础。发现自动生成的查询比专家的平均布尔查询更有效。但是,专家提供的最佳关键字和布尔查询大大优于自动查询。

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