=Paper=
{{Paper
|id=Vol-3226/invited1
|storemode=property
|title=THEaiTRE: Automatically Generating Theatre Play Scripts (invited paper)
|pdfUrl=https://ceur-ws.org/Vol-3226/invited1.pdf
|volume=Vol-3226
|authors=Rudolf Rosa
|dblpUrl=https://dblp.org/rec/conf/itat/Rosa22
}}
==THEaiTRE: Automatically Generating Theatre Play Scripts (invited paper)==
<pdf width="1500px">https://ceur-ws.org/Vol-3226/invited1.pdf</pdf>
<pre>
THEaiTRE: Automatically generating theatre play scripts⋆
Rudolf Rosa∗
Charles University in Prague, Faculty of Mathematics and Physics, 118 00 Prague, Czech Republic


                                             Abstract
                                             In February 2021, we staged the first theatre play for which 90% of the script was automatically generated by an artificial
                                             intelligence system. The THEaiTRobot system is based on the GPT-2 language model, created by the OpenAI consortium,
                                             complemented with automated translation. We had to adapt the model in various ways, especially to avoid repetitiveness and
                                             forgetting of context, and to stick to a limited set of characters. As input for the system, we used short starting prompts (scene
                                             setting and first few lines of dialogue), prepared by a dramaturge, which were expanded into full scenes by THEaiTRobot.
                                             The script was then post-edited and put on stage. Reviews mostly noted that AI cannot really write a good play (yet), but
                                             acknowledged that the performance was mostly interesting and entertaining to watch. We faced numerous limitations with
                                             our approach. We could only generate individual scenes independently, with a limited number of characters, and with the
                                             character personalities often randomly switching and merging. Also, the system does not see beyond the text of the script,
                                             lacking the understanding of the relation of the script to what is happening on stage. We are currently working on a new
                                             version of the system, which should improve on some of the issues, while also further minimizing the amount of human
                                             influence. It should also incorporate the concept of dramatic situations into the generation process. The THEaiTRE project is
                                             related to other similar attempts, such as the play Lifestyle of the Richard and Family, the musical Beyond the Fence, the short
                                             movie Sunspring, or the performances of the Improbotics theatre group, all of which use automatically generated content to
                                             some extent. Our play stands out among these projects by being rather long (60 minutes) while having a very high proportion
                                             of automatically generated content (90%).




ITAT’22: Information technologies – Applications and Theory, Septem-
ber 23–27, 2022, Zuberec, Slovakia
∗
     Corresponding author.
Envelope-Open rosa@ufal.mff.cuni.cz (R. Rosa)
                                       © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License
                                       Attribution 4.0 International (CC BY 4.0).
    CEUR
    Workshop
    Proceedings
                  http://ceur-ws.org
                  ISSN 1613-0073
                                       CEUR Workshop Proceedings (CEUR-WS.org)

</pre>