Survey
ZHAO Xujian, WANG Chongwei, JIN Peiquan, ZHANG Hui, YANG Chunming, LI Bo
2021, 35(11): 13-33.
The complex Web information makes it difficult for people to quickly and accurately obtain the storyline of news events. Therefore, “storyline mining” has become a valid research issue in the recent years, with a purpose to extract the evolutionary stages of events and further explore the evolution model of events by analyzing the correlation between news events and subsequent related events. Storyline mining can be applied to many applications, such as web news retrieval, text summarization, and public opinion monitoring. This paper first outlines the definition, process and main tasks of storyline mining. Next, from the aspects of storyline construction and event evolution analysis, the main progresses of the current studies on this task are introduced in detail. And then we compare two types of datasets and their evaluation metrics. Finally, several future research directions and technical frameworks of the storyline mining are discussed in the paper.