BERTScore Metric

BERTScore is a metric used to evaluate the semantic similarity between two text sequences, often employed in natural language processing tasks like text summarization, machine translation, and question answering. Current research focuses on improving BERTScore's accuracy and efficiency, including exploring its application in diverse contexts such as evaluating educational dialogue systems and assessing the quality of automatically generated research highlights. This metric's ability to capture semantic meaning beyond simple lexical overlap makes it a valuable tool for evaluating the quality of generated text, contributing to more robust and reliable NLP systems across various applications.