Citation Worthiness Detection

Citation worthiness detection aims to automatically identify which sentences or passages within a text require citation, streamlining the often laborious process of academic and legal writing. Current research focuses on developing deep learning models, including those leveraging graph neural networks and pre-trained language models tailored to specific domains like law, to improve the accuracy of this identification. These advancements have implications for improving the efficiency and reliability of scholarly publishing and legal documentation, ultimately enhancing the integrity and trustworthiness of information.