Automatic story generation: A survey of approaches

AI Alhussain, AM Azmi - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
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 …

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 …

Content planning for neural story generation with aristotelian rescoring

S Goldfarb-Tarrant, T Chakrabarty… - arXiv preprint arXiv …, 2020 - arxiv.org
Long-form narrative text generated from large language models manages a fluent
impersonation of human writing, but only at the local sentence level, and lacks structure or …

Recent advances in artificial intelligence for video production system

YF Huang, SJ Lv, KK Tseng, PJ Tseng… - Enterprise Information …, 2023 - Taylor & Francis
The emergence of AI has revolutionized video production, enabling innovative approaches
in artistic creation. With self-media's rise and demand for user-generated content, AI drives …

[PDF][PDF] Neurosymbolic Automated Story Generation.

LJ Martin - 2021 - laramartin.net
Although we are currently riding a technological wave of personal assistants, many of these
agents still struggle to communicate appropriately. Humans are natural storytellers, so it …

Changing the mind of transformers for topically-controllable language generation

HS Chang, J Yuan, M Iyyer, A McCallum - arXiv preprint arXiv:2103.15335, 2021 - arxiv.org
Large Transformer-based language models can aid human authors by suggesting plausible
continuations of text written so far. However, current interactive writing assistants do not …

Narrative text generation with a latent discrete plan

H Jhamtani, T Berg-Kirkpatrick - arXiv preprint arXiv:2010.03272, 2020 - arxiv.org
Past work on story generation has demonstrated the usefulness of conditioning on a
generation plan to generate coherent stories. However, these approaches have used …

Generating natural language from logic expressions with structural representation

X Wu, Y Cai, Z Lian, H Leung… - IEEE/ACM Transactions …, 2023 - ieeexplore.ieee.org
Incorporating logic reasoning with deep neural networks (DNNs) is an important challenge
in machine learning. In this article, we study the problem of converting logical expressions …

A-CAP: Anticipation Captioning with Commonsense Knowledge

DM Vo, QA Luong, A Sugimoto… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
Humans possess the capacity to reason about the future based on a sparse collection of
visual cues acquired over time. In order to emulate this ability, we introduce a novel task …

New feature attribution method for explainable aspect-based sentiment classification

JS Pan, GL Wang, SC Chu, D Yang, V Snášel - Knowledge-Based Systems, 2024 - Elsevier
Recently, the use of feature attribution methods in explainable artificial intelligence has
attracted significant attention. While many proposed methods in this domain involve …