HG-News: News Headline Generation Based on a Generative Pre-Training Model

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