Scientific Concept Extraction

Scientific Concept Extraction is a subtask of natural language processing that focuses on automatically identifying and extracting scientific concepts from research literature. This task aims to accurately capture and label concept entities with scientific significance by analyzing terms, phrases, and sentence structures in the text. The extracted scientific concepts can be used to build knowledge graphs, support information retrieval and document classification, thereby enhancing research efficiency and facilitating interdisciplinary studies.