AUTOMATIC GENERATION OF TEXT FOR MATCH RECAPS USING ESPORT CASTER COMMENTARIES

Olu Olarewaju; Jonathan David Hook; Athanasios Kokkinakis; Simon Peter Demediuk; Justus Robertson; Sagarika Patra; Isabelle Noelle; Daniel Slawson; Alan Pedrassoli Chitayat; Alistair Coates; Ben Kirman; Anders Drachen; Marian Ursu; Florian Oliver Block

AUTOMATIC GENERATION OF TEXT FOR MATCH RECAPS USING ESPORT CASTER COMMENTARIES

Olu Olarewaju, Jonathan David Hook, Athanasios Kokkinakis, Simon Peter Demediuk, Justus Robertson, Sagarika Patra, Isabelle Noelle, Daniel Slawson, Alan Pedrassoli Chitayat, Alistair Coates, Ben Kirman, Anders Drachen, Marian Ursu, Florian Oliver Block

Research output: Contribution to conference › Paper

Abstract

Unlike traditional physical sports, Esport games are played using wholly digital platforms. As a consequence, there exists rich data (in-game, audio and video) about the events that take place in matches. These data offer viable linguistic resources for 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.

Original language	English
Pages	1
Number of pages	15
Publication status	Accepted/In press - 2020

Access to Document

https://aircconline.com/csit/papers/vol10/csit101810.pdf

Cite this

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title = "AUTOMATIC GENERATION OF TEXT FOR MATCH RECAPS USING ESPORT CASTER COMMENTARIES",

abstract = "Unlike traditional physical sports, Esport games are played using wholly digital platforms. As a consequence, there exists rich data (in-game, audio and video) about the events that take place in matches. These data offer viable linguistic resources for 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.",

author = "Olu Olarewaju and Hook, {Jonathan David} and Athanasios Kokkinakis and Demediuk, {Simon Peter} and Justus Robertson and Sagarika Patra and Isabelle Noelle and Daniel Slawson and {Pedrassoli Chitayat}, Alan and Alistair Coates and Ben Kirman and Anders Drachen and Marian Ursu and Block, {Florian Oliver}",

year = "2020",

language = "English",

pages = "1",

}

TY - CONF

T1 - AUTOMATIC GENERATION OF TEXT FOR MATCH RECAPS USING ESPORT CASTER COMMENTARIES

AU - Olarewaju, Olu

AU - Hook, Jonathan David

AU - Kokkinakis, Athanasios

AU - Demediuk, Simon Peter

AU - Robertson, Justus

AU - Patra, Sagarika

AU - Noelle, Isabelle

AU - Slawson, Daniel

AU - Pedrassoli Chitayat, Alan

AU - Coates, Alistair

AU - Kirman, Ben

AU - Drachen, Anders

AU - Ursu, Marian

AU - Block, Florian Oliver

PY - 2020

Y1 - 2020

N2 - Unlike traditional physical sports, Esport games are played using wholly digital platforms. As a consequence, there exists rich data (in-game, audio and video) about the events that take place in matches. These data offer viable linguistic resources for 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.

AB - Unlike traditional physical sports, Esport games are played using wholly digital platforms. As a consequence, there exists rich data (in-game, audio and video) about the events that take place in matches. These data offer viable linguistic resources for 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.

M3 - Paper

SP - 1

ER -