Open-world story generation with structured knowledge enhancement: A comprehensive survey

Y Wang, J Lin, Z Yu, W Hu, BF Karlsson - Neurocomputing, 2023 - Elsevier
Storytelling and narrative are fundamental to human experience, intertwined with our social
and cultural engagement. As such, researchers have long attempted to create systems that …

Automatic story generation: Challenges and attempts

A Alabdulkarim, S Li, X Peng - ar** pretraining models that can
generalize to various downstream tasks. Existing benchmarks for natural language …

Defining a new NLP playground

S Li, C Han, P Yu, C Edwards, M Li, X Wang… - arxiv preprint arxiv …, 2023 - arxiv.org
The recent explosion of performance of large language models (LLMs) has changed the
field of Natural Language Processing (NLP) more abruptly and seismically than any other …

Inferring the reader: Guiding automated story generation with commonsense reasoning

X Peng, S Li, S Wiegreffe, M Riedl - arxiv preprint arxiv:2105.01311, 2021 - arxiv.org
Transformer-based language model approaches to automated story generation currently
provide state-of-the-art results. However, they still suffer from plot incoherence when …

Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation

Z Zhang, J Wen, J Guan, M Huang - arxiv preprint arxiv:2204.10703, 2022 - arxiv.org
Endowing the protagonist with a specific personality is essential for writing an engaging
story. In this paper, we aim to control the protagonist's persona in story generation, ie …