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    <titleInfo>
        <title>Generating Descriptive and Rules-Adhering Spells for Dungeons &amp; Dragons Fifth Edition</title>
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    <abstract>We examine the task of generating unique content for the spell system of the tabletop roleplaying game Dungeons and Dragons Fifth Edition using several generative language models. Due to the descriptive nature of the game Dungeons and Dragons Fifth Edition, it presents a number of interesting avenues for generation and analysis of text. In particular, the “spell” system of the game has interesting and unique characteristics as it is primarily made up of high level and descriptive text but has many of the game’s main rules embedded with that text. Thus, we examine the capabilities of several models on the task of generating new content for this game, evaluating the performance through the use of both score-based methods and a survey on the best performing model to determine how the generated content conforms to the rules of the game and how well they might be used in the game.</abstract>
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%0 Conference Proceedings
%T Generating Descriptive and Rules-Adhering Spells for Dungeons & Dragons Fifth Edition
%A Newman, Pax
%A Liu, Yudong
%Y Madge, Chris
%S Proceedings of the 9th Workshop on Games and Natural Language Processing within the 13th Language Resources and Evaluation Conference
%D 2022
%8 June
%I European Language Resources Association
%C Marseille, France
%F newman-liu-2022-generating
%X We examine the task of generating unique content for the spell system of the tabletop roleplaying game Dungeons and Dragons Fifth Edition using several generative language models. Due to the descriptive nature of the game Dungeons and Dragons Fifth Edition, it presents a number of interesting avenues for generation and analysis of text. In particular, the “spell” system of the game has interesting and unique characteristics as it is primarily made up of high level and descriptive text but has many of the game’s main rules embedded with that text. Thus, we examine the capabilities of several models on the task of generating new content for this game, evaluating the performance through the use of both score-based methods and a survey on the best performing model to determine how the generated content conforms to the rules of the game and how well they might be used in the game.
%U https://aclanthology.org/2022.games-1.7
%P 54-60

Markdown (Informal)

[Generating Descriptive and Rules-Adhering Spells for Dungeons & Dragons Fifth Edition](https://aclanthology.org/2022.games-1.7) (Newman & Liu, games 2022)

• Generating Descriptive and Rules-Adhering Spells for Dungeons & Dragons Fifth Edition (Newman & Liu, games 2022)

ACL

• Pax Newman and Yudong Liu. 2022. Generating Descriptive and Rules-Adhering Spells for Dungeons & Dragons Fifth Edition. In Proceedings of the 9th Workshop on Games and Natural Language Processing within the 13th Language Resources and Evaluation Conference, pages 54–60, Marseille, France. European Language Resources Association.