Bibliographic Reference

Bibliographic referencing, the process of accurately citing sources, is undergoing significant advancements driven by the need for efficient and reliable methods in managing and accessing scholarly information. Current research focuses on automating citation generation, particularly for preprints, using techniques like rule-based natural language generation and neural network models to address author name ambiguity and improve the accuracy of automatically generated references. These improvements are crucial for enhancing research reproducibility, facilitating knowledge discovery through improved literature searching, and supporting the development of intelligent information systems that can assist researchers in managing their literature.