Computational generation of stories is a subfield of computational creativity where artificial
intelligence and psychology intersect to teach computers how to mimic humans' creativity. It …

In the NLP community, recent years have seen a surge of research activities that address
machines' ability to perform deep language understanding which goes beyond what is …

Language models are increasingly attracting interest from writers. However, such models
lack long-range semantic coherence, limiting their usefulness for longform creative writing …

We consider the problem of automatically generating longer stories of over two thousand
words. Compared to prior work on shorter stories, long-range plot coherence and relevance …

Automatic storytelling is challenging since it requires generating long, coherent natural
language to describes a sensible sequence of events. Despite considerable efforts on …

Advances in computing power, natural language processing, and digitization of text now
make it possible to study a culture's evolution through its texts using a 'big data'lens. Our …

Visual data stories shown in the form of narrative visualizations such as a poster or a data
video, are frequently used in data-oriented storytelling to facilitate the understanding and …

Writers generally rely on plans or sketches to write long stories, but most current language
models generate word by word from left to right. We explore coarse-to-fine models for …

We propose the task of outline-conditioned story generation: given an outline as a set of
phrases that describe key characters and events to appear in a story, the task is to generate …

Script event prediction requires a model to predict the subsequent event given an existing
event context. Previous models based on event pairs or event chains cannot make full use of …