Medical question pair similarity computation

Medical question pair similarity computation is an important task in the field of natural language processing, aimed at calculating the semantic similarity between pairs of medical questions to determine if they have the same meaning. The goal of this task is to develop efficient algorithms and models that can accurately identify and match synonymous questions in the medical domain. This not only helps to optimize medical information retrieval systems and improve the accuracy of user queries, but also effectively reduces redundant work, enhancing communication efficiency between doctors and patients, which is of great significance for promoting the rational use of medical resources and improving medical services.