Scientific Results Extraction

Scientific Results Extraction is an important task in the field of natural language processing, aimed at extracting relevant result information from scientific literature, such as task, dataset, metric name, and metric value in machine learning performance results. The goal of this task is to automatically identify and extract these key results to facilitate researchers' rapid access and comparison of experimental data, thereby enhancing research efficiency and the value of information utilization.