Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation

Understand

With the rapid proliferation of online media sources and published news, headlines have become increasingly important for attracting readers to news articles, since users may be overwhelmed with the massive information.

• In this paper, we generate inspired headlines that preserve the nature of news articles and catch the eye of the reader simultaneously.
• The task of inspired headline generation can be viewed as a specific form of Headline Generation (HG) task, with the emphasis on creating an attractive headline from a given news article.
• To generate inspired headlines, we propose a novel framework called POpularity-Reinforced Learning for inspired Headline Generation (PORL-HG).