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Automatic user story generation: a comprehensive systematic literature review
User stories are the lifeblood of agile software development due to their semi-structured format and ease of implementation. However, the variety of...
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Story Generation Using GAN, RNN and LSTM
This paper explores the domain of story generation and presents a novel approach that uses Generative Adversarial Networks (GANs), Recurrent Neural...
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LongStory: Coherent, Complete and Length Controlled Long Story Generation
A human author can write any length of story without losing coherence. Also, they always bring the story to a proper ending, an ability that current...
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Controllable Story Generation Based on Perplexity Minimization
Large-scale pre-trained language models have demonstrated impressive results in producing human-like texts. However, controlling the text generation...
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Knowledge-Aware Two-Stream Decoding for Outline-Conditioned Chinese Story Generation
Generating a coherent and reasonable story for a given story outline, i.e., outline-conditioned story generation, is an important and challenging...
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LSTM-based Siamese neural network for Urdu news story segmentation
News story segmentation is a challenging task mainly due to the dynamic range of topics, smooth story transitions, and varied duration of each story....
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Story Generation Based on Multi-granularity Constraints
Generating a coherent story is a challenging task in natural language processing, which requires maintaining the coherence of plots and...
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A systematic review of artificial intelligence technologies used for story writing
With the digital revolution of artificial intelligence (AI) in language education, the way how people write and create stories has been transformed...
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SimAC: simulating agile collaboration to generate acceptance criteria in user story elaboration
In agile requirements engineering, Generating Acceptance Criteria (GAC) to elaborate user stories plays a pivotal role in the sprint planning phase,...
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Breaking Bad: Unraveling Influences and Risks of User Inputs to ChatGPT for Game Story Generation
This study presents an investigation into the influence and potential risks of using user inputs as part of a prompt, a message used to interact with...
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SegRewardGraph: unsupervised teaching video story segmentation method based on subtitle length-rewarding strategy and semantic relatedness graphs
Story segmentation plays an important role in hel** students quickly locate key knowledge points within massive and fragmented teaching video...
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Incorporating Commonsense Knowledge into Story Ending Generation via Heterogeneous Graph Networks
Story ending generation is an interesting and challenging task, which aims to generate a coherent and reasonable ending given a story context. The...
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IMARISS: Story Creation Tools - Inspiration Mobile Augmented Reality Interactive Story System
Traditional story creation tools currently lack effectiveness in fostering creative thought and expanding beyond-textual-narration, offering limited...
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Story Sifting Using Object Detection Techniques
Our focus is on the problem of story sifting (or story recognition), which is the automated sifting of interesting stories that emerge from the...
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The effect of amount, type and reoccurrence of interactions in electronic books on word learning and story comprehension by kindergartners
Numerous studies have examined the positive and negative effects of various types of interactions that occur while children view electronic book...
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Decision Tree Based Test Case Generation Using Story Board and Natural Language Processing
It is true that generating test cases manually can be time-consuming and may result in incomplete coverage of user requirements. Our approach of...
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Consistency and Coherency Enhanced Story Generation
Story generation is a challenging task, which demands to maintain consistency of the plots and characters throughout the story. Previous works have...
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Expert views about missing AI narratives: is there an AI story crisis?
Stories are an important indicator of our vision of the future. In the case of artificial intelligence (AI), dominant stories are polarized between...
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Exploiting time series based story plot popularity for movie success prediction
Movie success prediction in the development phase is considered a challenging task due to the availability of very limited information. A movie plot...
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A Systematic survey on automated text generation tools and techniques: application, evaluation, and challenges
Automatic text generation is the generation of natural language text by machines. Enabling machines to generate readable and coherent text is one of...
