LPN: Label-Enhanced Prototypical Network for Legal Judgment Prediction
Junyi Chen,
Yingjie Han,
Xiabing Zhou
et al.
Abstract:As one of the most critical tasks in legal artificial intelligence, legal judgment prediction (LJP) has garnered growing attention, especially in the civil law system. However, current methods often overlook the challenge of imbalanced label distributions, treating each label with equal importance, which can lead the model to be biased toward labels with high frequency. In this paper, we propose a label-enhanced prototypical network (LPN) suitable for LJP, that adopts a strategy of uniform encoding and separat… Show more
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