Character depth and sentence diversification in automated narrative generation

This paper describes and discusses methods for improving character depth and sentence diversification in automated storytelling systems. The fAIble III system that is the subject of this paper addresses a major limitation of its immediate predecessor (fAIble II) in that the characters in its stories...

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Veröffentlicht in:	International FLAIRS Conference (33. : 2020 : North Miami Beach, Fla.) Proceedings of the Thirty-third International Florida Artificial Intelligence Research Society Conference
1. Verfasser:	Bottoni, Brooke (VerfasserIn)
Weitere Verfasser:	Moolenaar, Yasmine (VerfasserIn), Hevia, Anthony (VerfasserIn), Anchor, Thomas (VerfasserIn), Benko, Kyle (VerfasserIn), Knauf, Rainer (VerfasserIn), Jantke, Klaus P. (VerfasserIn), Gonzalez, Avelino J. (VerfasserIn), Wu, Annie (VerfasserIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	2020
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Zusammenfassung:	This paper describes and discusses methods for improving character depth and sentence diversification in automated storytelling systems. The fAIble III system that is the subject of this paper addresses a major limitation of its immediate predecessor (fAIble II) in that the characters in its stories seemed to act in a vacuum, without any apparent reasons for their choices or emotions. This is accomplished through generating character backstories. fAIble III also addresses the diversity of generated sentences with a pattern recognition system that removes many of the awkward and repetitive sentences that drew negative comments in the testing of fAIble I and II. Lastly, stories generated by fAIble II and fAIble III are compared and empirical test results are presented.
ISBN:	9781577358213