Sentence Embeddings For Biomedical Texts

Sentence Embeddings for Biomedical Texts is a technique in the field of natural language processing aimed at converting biomedical texts into dense vector representations in a high-dimensional space. This method captures lexical, syntactic, and semantic information to achieve precise modeling of complex biomedical concepts and relationships. Its primary goal is to enhance the processability and expressiveness of text data in machine learning tasks, thereby improving the performance of applications such as information retrieval, document classification, and entity recognition, and advancing the智能化进程 (intelligent process) of biomedical research. Note: The term "智能化进程" can be translated as "intelligent process" or "process of智能化" depending on the context. If you prefer a more specific translation, please let me know!