A News Title Generation Method Based on UNILM Framework via Adversarial Training

Abstract

Text generation is now a very mature task. Many methods have been applied to text generation and achieved good results. This paper uses the pre-trained model Unilm with adversarial training to generate news headlines from the Thucnews dataset. We fine tune the methods and parameters in the model and produced some results for reference or comparison