Event-Oriented Wiki Document Generation

Fangwei Zhu, Zhengguo Wang, Juanzi Li, Lei Hou, Jiaxin Shi, Shining Lv, Ran Shen, Junjun Jiang

Abstract: We aim to automatically generate event-oriented Wikipedia articles by viewing it as a multi-document summarization problem. In this paper, we propose a new model named WikiGen, which consists of two parts: the first one induces a general topic template from existing Wikipedia articles, and the second one generates a summary for each topic by collecting, filtering, and integrating relevant web news, which will be assembled into the full document. Our evaluation results show that WikiGen is capable of generating fluent and comprehensive Wikipedia documents and outperforms previous work, achieving state-of-the-art ROUGE scores.