Neural headline generation models have recently shown great results since neural network methods have been applied to text summarization.In this paper, we focus on news headline generation.We propose a news headline generation model based on a generative pre-training model.
In our model, we propose a read more rich features input module.The headline generation model we propose only contains a decoder incorporating the pointer mechanism and the n-gram language features, while other generation models use the encoder-decoder architecture.Experiments click here on news datasets show that our model achieves comparable results in the field of news headline generation.