We discuss our experiments for COLIEE Task 1, a court case retrieval competition using cases from the Federal Court of Canada. During experiments on the training data we observe that passage level retrieval with rank fusion outperforms document level retrieval. By explicitly adding extracted statute information to the queries and documents we can further improve the results. We submit two passage level runs to the competition, which achieve high recall but low precision.

翻译：我们讨论了针对COLIEE 任务1（一项使用加拿大联邦法院案例的法院案例检索竞赛）所开展的实验。在训练数据上的实验过程中，我们观察到采用排名融合的段落级检索优于文档级检索。通过明确地将提取的法规信息添加到查询和文档中，我们能够进一步改进结果。我们向该竞赛提交了两次段落级检索结果，这些结果实现了高召回率但低精确率。