INS: An Interactive Chinese News Synthesis System
This addresses the problem of information overload for readers and editors by providing a tool to automate or assist in news synthesis, though it appears incremental as it builds on existing synthesis methods with an interactive twist.
The authors tackled the challenge of synthesizing multiple Chinese news articles into a single overview article by developing INS, an interactive system that performs well in topic representation and article generation, with user studies showing high satisfaction.
Nowadays, we are surrounded by more and more online news articles. Tens or hundreds of news articles need to be read if we wish to explore a hot news event or topic. So it is of vital importance to automatically synthesize a batch of news articles related to the event or topic into a new synthesis article (or overview article) for reader's convenience. It is so challenging to make news synthesis fully automatic that there is no successful solution by now. In this paper, we put forward a novel Interactive News Synthesis system (i.e. INS), which can help generate news overview articles automatically or by interacting with users. More importantly, INS can serve as a tool for editors to help them finish their jobs. In our experiments, INS performs well on both topic representation and synthesis article generation. A user study also demonstrates the usefulness and users' satisfaction with the INS tool. A demo video is available at \url{https://youtu.be/7ItteKW3GEk}.