Automatic Generation of Text for Match Recaps Using Esportcaster Commentaries (original) (raw)

Abstract

Unlike traditional physical sports, Esport games are played using wholly digital platforms. As a consequence, there exists richdata (in-game, audio and video) about the eventsthat take place in matches. Thesedata offerviable linguistic resourcesfor generating comprehensible text descriptions of matches, which could, be used as the basis of novel text-based spectator experiences. We present a study that investigates if users perceive text generated by the NLG system as an accurate recap of highlight moments. We also explore how the text generated supported viewer understanding of highlight moments in two scenarios: i) text as an alternative way to spectate a match, instead of viewing the main broadcast; and ii) text as an additional information resource to be consumed while viewing the main broadcast. Our study provided insights on the implications of the presentation strategies for use of text in recapping highlight moments to Dota 2 spectators.

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