mlsanityData to 7 Oct 2026

JNLP Team: Deep Learning for Legal Processing in COLIEE 2020

arXiv 2011.08071 ↗First posted 4 Nov 2020cs.CL cs.IR cs.LGcited by 14

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Abstract (arXiv)

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.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Nov 2020.

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Citing papers per year: 2021: 4; 2022: 5; 2023: 2; 2024: 2; 2025: 0; 2026: 1.

14 papers.

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