Negation Scope Resolution

Negation Scope Resolution is a crucial task in natural language processing, aiming to accurately identify and resolve the scope of negation words, thereby correctly understanding the meaning of sentences. The goal of this task is to determine the specific components affected by negation words, ensuring that machines can accurately capture the negative connotations in the text. By addressing this issue, the performance of applications such as sentiment analysis, information extraction, and question-answering systems can be significantly improved, enhancing the understanding and reasoning capabilities of natural language processing systems.