Contextualized Literature-based Discovery

Contextualized Literature-based Discovery (CLBD) is an advanced task in the field of natural language processing, aimed at discovering hidden associations and innovative ideas from existing literature by generating creative sentences and predicting creative nodes. The goal of CLBD is to leverage contextual information to provide new hypotheses and insights for research in specific fields, thereby accelerating scientific discovery and technological innovation. Its application value lies in effectively mining potential knowledge from a large amount of literature, supporting interdisciplinary research and solving complex problems.