While advanced text generation algorithms (eg, GPT-3) have enabled writers to co-create
stories with an AI, guiding the narrative remains a challenge. Existing systems often …

Abductive reasoning seeks the likeliest possible explanation for partial observations.
Although abduction is frequently employed in human daily reasoning, it is rarely explored in …

Despite recent progress of pre-trained language models on generating fluent text, existing
methods still suffer from incoherence problems in long-form text generation tasks that …

Lexically constrained text generation aims to control the generated text by incorporating
some pre-specified keywords into the output. Previous work injects lexical constraints into …

Representation learning for text via pretraining a language model on a large corpus has
become a standard starting point for building NLP systems. This approach stands in contrast …

Storytelling has always been vital for human nature. From ancient times, humans have used
stories for several objectives including entertainment, advertisement, and education. Various …

This paper proposes a new self-attention based model for music score infilling, ie, to
generate a polyphonic music sequence that fills in the gap between given past and future …

Getting machines to generate text perceived as creative is a long-pursued goal. A growing
body of research directs this goal towards augmenting the creative writing abilities of human …

One of the most challenging topics in Natural Language Processing (NLP) is visually-
grounded language understanding and reasoning. Outdoor vision-and-language navigation …

Story ideation is a critical part of the story-writing process. It is challenging to support
computationally due to its exploratory and subjective nature. Tropes, which are recurring …