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 …
intelligence and psychology intersect to teach computers how to mimic humans' creativity. It …
How close is chatgpt to human experts? comparison corpus, evaluation, and detection
The introduction of ChatGPT has garnered widespread attention in both academic and
industrial communities. ChatGPT is able to respond effectively to a wide range of human …
industrial communities. ChatGPT is able to respond effectively to a wide range of human …
Co-writing screenplays and theatre scripts with language models: Evaluation by industry professionals
Language models are increasingly attracting interest from writers. However, such models
lack long-range semantic coherence, limiting their usefulness for longform creative writing …
lack long-range semantic coherence, limiting their usefulness for longform creative writing …
Re3: Generating longer stories with recursive reprompting and revision
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 …
words. Compared to prior work on shorter stories, long-range plot coherence and relevance …
Justifying recommendations using distantly-labeled reviews and fine-grained aspects
Several recent works have considered the problem of generating reviews (or 'tips') as a form
of explanation as to why a recommendation might match a customer's interests. While …
of explanation as to why a recommendation might match a customer's interests. While …
Automatic story generation: Challenges and attempts
The scope of this survey paper is to explore the challenges in automatic story generation.
We hope to contribute in the following ways: 1. Explore how previous research in story …
We hope to contribute in the following ways: 1. Explore how previous research in story …
Bold: Dataset and metrics for measuring biases in open-ended language generation
Recent advances in deep learning techniques have enabled machines to generate
cohesive open-ended text when prompted with a sequence of words as context. While these …
cohesive open-ended text when prompted with a sequence of words as context. While these …
Plug and play language models: A simple approach to controlled text generation
Large transformer-based language models (LMs) trained on huge text corpora have shown
unparalleled generation capabilities. However, controlling attributes of the generated …
unparalleled generation capabilities. However, controlling attributes of the generated …
The woman worked as a babysitter: On biases in language generation
We present a systematic study of biases in natural language generation (NLG) by analyzing
text generated from prompts that contain mentions of different demographic groups. In this …
text generated from prompts that contain mentions of different demographic groups. In this …
TaleBrush: Sketching stories with generative pretrained language models
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 …
stories with an AI, guiding the narrative remains a challenge. Existing systems often …