Writing is a fundamental human activity—but today we have the opportunity to leverage Natural Language Processing (NLP) methods to help in this endeavour.
Recent tools go beyond mere spelling and grammatical support to the use of Large Language Models (LLMs) to support human-AI co-writing. While existing tools are helpful, it is still unknown how to best apply NLP to more complex and abstract narrative components such as characterisation, dialogue, and narrative structures, and how that can help writers—as well as the fans and scholars reading their work.
In this talk, Naimul will demonstrate how NLP and interactive visualizations can be combined to help writers design complex narrative components and reveal hidden patterns while revising a draft. Two case studies will be presented, one on mitigating social biases in fiction writing and one on the design of characterisation. Naimul will conclude by outlining the broader impact of his work on human-AI co-writing.
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