Wordcraft: A Human-ai Collaborative Editor For Story Writing

Andy Coenen, Luke Davis, Daphne Ippolito, Emily Reif, Ann Yuan. First Workshop on Bridging Human-Computer Interaction and Natural Language Processing at EACL 2021 2021 – 32 citations

[Paper]    
Training Techniques Transformer Few-Shot Reinforcement Learning Applications Model Architecture

As neural language models grow in effectiveness, they are increasingly being applied in real-world settings. However these applications tend to be limited in the modes of interaction they support. In this extended abstract, we propose Wordcraft, an AI-assisted editor for story writing in which a writer and a dialog system collaborate to write a story. Our novel interface uses few-shot learning and the natural affordances of conversation to support a variety of interactions. Our editor provides a sandbox for writers to probe the boundaries of transformer-based language models and paves the way for future human-in-the-loop training pipelines and novel evaluation methods.

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