Research on generating high-quality news headlines based on the GPT-2 model to replace artificial headlines

As headlines of Internet news become out of context. This project is expected to use the GPT-2 model and use Chinese news materials for training. And use the model to generate in-text headlines instead of exaggerated headlines. This research will use web crawlers to collect news data in Taiwan and use Pearson’s correlation coefficient to detect the correlation between manual ratings and machine ratings and verify whether this experimental model can produce headlines of sufficient quality through a variety of research tools.