论文标题
JNLP团队：Coliee 2020年的法律处理深度学习
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020
论文作者
论文摘要
我们提出了基于深度学习的方法，用于2020年Coliee的法律检索和法律提问系统的自动系统。这些系统的特征都是在针对指定任务进行填补之前接受大量数据进行预培训。这种方法有助于克服数据稀缺并实现良好的性能，因此对于解决信息检索中的相关问题以及法律领域的决策支持可能是有用的。此外，可以探索该方法来处理其他特定领域的问题。
We propose deep learning based methods for automatic systems of legal retrieval and legal question-answering in COLIEE 2020. These systems are all characterized by being pre-trained on large amounts of data before being finetuned for the specified tasks. This approach helps to overcome the data scarcity and achieve good performance, thus can be useful for tackling related problems in information retrieval, and decision support in the legal domain. Besides, the approach can be explored to deal with other domain specific problems.
