Sentence-Pair Classification

Sentence-Pair Classification is an important task in natural language processing that aims to analyze the relationship between two sentences and determine whether they have a specific association, such as entailment, contradiction, or neutrality. The goal of this task is to build models that can accurately identify and classify the relationships between sentence pairs, thereby enhancing the depth and breadth of text understanding. Its application value is extensive, including but not limited to sentiment analysis, question answering systems, machine translation, and information retrieval, which helps improve the intelligence level of systems and user experience.