Content selection for real-time sports news construction from commentary texts

Abstract

We study the task of constructing sports news report automatically from live commentary and focus on content selection. Rather than receiving every piece of text of a sports match before news construction, as in previous related work, we novelly verify the feasibility of a more challenging setting to generate news report on the fly by treating live text input as a stream. We design scoring functions to address different requirements of the task and use stream substitution for sentence selection. Experiments suggest that our proposed framework can already produce comparable results compared with previous work that relies on a supervised learning-to-rank model.