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We propose deep learning based methods for automatic systems of legalretrieval and legal question-answering in COLIEE 2020. These systems are allcharacterized by being pre-trained on large amounts of data before beingfinetuned for the specified tasks. This approach helps to overcome the datascarcity and achieve good performance, thus can be useful for tackling relatedproblems in information retrieval, and decision support in the legal domain.Besides, the approach can be explored to deal with other domain specificproblems.

JNLP Team: Deep Learning for Legal Processing in COLIEE 2020