Sports news generation from live webcast scripts based on rules and templates

Abstract

With the dramatic increase of the live webcast scripts about sports, it is an urgent demand to write and publish a sports news article immediately after a sports game. However, so far, the sports news articles are usually written by human experts or journalists, and the manual writing of sports news is time-consuming and inefficient. This paper describes our system on the sports news generation from live webcast scripts task. On one hand, our system extracts the important events occurring in the time period from the live webcast scripts according to the rules, and on the other hand, our system generates a brief summary from the live webcast scripts about the football matches. According to the characteristic of live webcast scripts, we adopt an approach to sentence extraction and template generation from live webcast scripts. The evaluation results show that our system is feasible in sports news generation from live webcast scripts.