Story Generation
74 papers with code • 5 benchmarks • 7 datasets
Story generation is the task of automatically generating a coherent narrative, often from a set of premises or a brief summary.
Benchmarks
These leaderboards are used to track progress in Story Generation
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Datasets
WritingPrompts
TVRecap
Most implemented papers
A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
lancopku/Skeleton-Based-Generation-Model
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EMNLP 2018
Compared to the state-of-the-art models, our skeleton-based model can generate significantly more coherent text according to human evaluation and automatic evaluation.
Controllable Neural Story Plot Generation via Reward Shaping
lara-martin/StoryPlot-RewardShaping
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Language-modeling--based approaches to story plot generation attempt to construct a plot by sampling from a language model (LM) to predict the next character, word, or sentence to add to the story.
Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation
seraphinatarrant/plan-write-revise
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NAACL 2019
We compare different varieties of interaction in story-writing, story-planning, and diversity controls under time constraints, and show that increased types of human collaboration at both planning and writing stages results in a 10-50% improvement in story quality as compared to less interactive baselines.
Informative Visual Storytelling with Cross-modal Rules
passerby233/VSCMR-Visual-Storytelling-with-Corss-Modal-Rules
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To solve this problem, we propose a method to mine the cross-modal rules to help the model infer these informative concepts given certain visual input.
Improving Neural Story Generation by Targeted Common Sense Grounding
calclavia/story-generation
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IJCNLP 2019
Stories generated with neural language models have shown promise in grammatical and stylistic consistency.
Story Realization: Expanding Plot Events into Sentences
rajammanabrolu/StoryRealization
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Neural network based approaches to automated story plot generation attempt to learn how to generate novel plots from a corpus of natural language plot summaries.
Do Massively Pretrained Language Models Make Better Storytellers?
abisee/story-generation-eval
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CONLL 2019
Large neural language models trained on massive amounts of text have emerged as a formidable strategy for Natural Language Understanding tasks.
Knowledge-Enriched Visual Storytelling
This paper introduces KG-Story, a three-stage framework that allows the story generation model to take advantage of external Knowledge Graphs to produce interesting stories.
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation
thu-coai/CommonsenseStoryGen
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TACL 2020
To further capture the causal and temporal dependencies between the sentences in a reasonable story, we employ multi-task learning which combines a discriminative objective to distinguish true and fake stories during fine-tuning.
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2
rsvp-ai/semantic_unwritten
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ACL 2021
Experimental results show that the Chinese GPT2 can generate better essay endings with \eop.
