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Found 6 papers, 2 papers with code
Caseformer: Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions
Legal case retrieval aims to help legal workers find relevant cases related to their cases at hand, which is important for the guarantee of fairness and justice in legal judgments.
LeCaRDv2: A Large-Scale Chinese Legal Case Retrieval Dataset
However, the development of legal case retrieval technologies in the Chinese legal system is restricted by three problems in existing datasets: limited data size, narrow definitions of legal relevance, and naive candidate pooling strategies used in data sampling.
An Intent Taxonomy of Legal Case Retrieval
Through a laboratory user study, we reveal significant differences in user behavior and satisfaction under different search intents in legal case retrieval.
CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding
In the data sampling phase, we enhance the quality of the training data by utilizing fine-grained law article information to guide the selection of positive and negative examples.
Diverse legal case search
In the process of searching, legal practitioners often need the search results under several different causes of cases as reference.
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality
Previous studies in multimodal sentiment analysis have used limited datasets, which only contain unified multimodal annotations.
