%0 Conference Proceedings
%T Plug-and-Blend: A Framework for Controllable Story Generation with Blended Control Codes
%A Lin, Zhiyu
%A Riedl, Mark
%Y Akoury, Nader
%Y Brahman, Faeze
%Y Chaturvedi, Snigdha
%Y Clark, Elizabeth
%Y Iyyer, Mohit
%Y Martin, Lara J.
%S Proceedings of the Third Workshop on Narrative Understanding
%D 2021
%8 June
%I Association for Computational Linguistics
%C Virtual
%F lin-riedl-2021-plug
%X We describe a Plug-and-Play controllable language generation framework, Plug-and-Blend, that allows a human user to input multiple control codes (topics). In the context of automated story generation, this allows a human user lose or fine grained control of the topics that will appear in the generated story, and can even allow for overlapping, blended topics. We show that our framework, working with different generation models, controls the generation towards given continuous-weighted control codes while keeping the generated sentences fluent, demonstrating strong blending capability.
%R 10.18653/v1/2021.nuse-1.7
%U https://aclanthology.org/2021.nuse-1.7/
%U https://doi.org/10.18653/v1/2021.nuse-1.7
%P 62-71