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This paper describes the approach of the THUIR team at the COLIEE 2023 LegalCase Entailment task. This task requires the participant to identify a specificparagraph from a given supporting case that entails the decision for the querycase. We try traditional lexical matching methods and pre-trained languagemodels with different sizes. Furthermore, learning-to-rank methods are employedto further improve performance. However, learning-to-rank is not very robust onthis task. which suggests that answer passages cannot simply be determined withinformation retrieval techniques. Experimental results show that moreparameters and legal knowledge contribute to the legal case entailment task.Finally, we get the third place in COLIEE 2023. The implementation of ourmethod can be found at https://github.com/CSHaitao/THUIR-COLIEE2023.

THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment