Phrase Relatedness

Phrase Relatedness is an important task in natural language processing aimed at evaluating the semantic relatedness between two phrases. By calculating the similarity between phrases, this task helps machines understand the deeper structure and meaning of language. Its primary goal is to build models that can accurately identify and quantify the degree of association between different phrases, thereby enhancing the performance of applications such as information retrieval, text classification, and sentiment analysis. The application value of Phrase Relatedness lies in optimizing search engines, improving recommendation systems, and enhancing the interactive experience of dialogue systems, making natural language processing technologies more intelligent and efficient.