Story Generation

42 papers with code • 4 benchmarks • 3 datasets

Story generation is the task of automatically generating a coherent narrative, often from a set of premises or a brief summary.

Most implemented papers

Hierarchical Neural Story Generation

pytorch/fairseq ACL 2018

We explore story generation: creative systems that can build coherent and fluent passages of text about a topic.

GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation

tkim-snu/GLACNet 28 May 2018

The task of multi-image cued story generation, such as visual storytelling dataset (VIST) challenge, is to compose multiple coherent sentences from a given sequence of images.

Plan-And-Write: Towards Better Automatic Storytelling

VioletPeng/language-model 14 Nov 2018

Automatic storytelling is challenging since it requires generating long, coherent natural language to describes a sensible sequence of events.

PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking

hrashkin/plotmachines EMNLP 2020

We propose the task of outline-conditioned story generation: given an outline as a set of phrases that describe key characters and events to appear in a story, the task is to generate a coherent narrative that is consistent with the provided outline.

On Faithfulness and Factuality in Abstractive Summarization

google-research-datasets/xsum_hallucination_annotations ACL 2020

It is well known that the standard likelihood training and approximate decoding objectives in neural text generation models lead to less human-like responses for open-ended tasks such as language modeling and story generation.

Language Models Can See: Plugging Visual Controls in Text Generation

yxuansu/magic 5 May 2022

MAGIC is a flexible framework and is theoretically compatible with any text generation tasks that incorporate image grounding.

Event Representations for Automated Story Generation with Deep Neural Nets

lara-martin/ASTER 5 Jun 2017

We then present a technique for automated story generation whereby we decompose the problem into the generation of successive events (event2event) and the generation of natural language sentences from events (event2sentence).

A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation

lancopku/Skeleton-Based-Generation-Model 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.

Plan, Write, and Revise: an Interactive System for Open-Domain Story Generation

seraphinatarrant/plan-write-revise 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 7 Jul 2019

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.