Story Generator

Short Story Generator / Story Story Writer / Story Creative Generator / Random Story Generator / Story Writer / Story Maker / Fiction Generator / Story Creator / Story Maker

The substrate used for story generation can be either a story oriented structure described by Propp or a topic representation. For example, the Auteur system (,) is a story / story / narrative generator and the Automatist and FRAMES systems are based on a single story plot / narrative generator. All these systems are top-driven (implicit or explicit) and create a linear presentation by dynamically linking video clips. Video clips represent stories and plots. Generation of a linear representation can be based on an additional formal representation of the meaning of the video segment in one or more narrative meanings (structure base, story or plot), and / or other interpretations or explanations of the video component.

What I really want is building a story generation system that can generate new stories about possible themes. Like humans. I call it an open story generation problem. I first tried to solve the problem of generating open story was Scheherazade, a story generation system that summarizes stories on specific topics, learns the generalized model, and uses it to create new stories. Whenever we encounter a topic you do not understand, we generate and publish crowdsourcing queries. This is a story automatically generated by Scheherazade.

The most famous story generation system is TALESPIN (1977), and the story is generated by turning over the story understanding system. It uses concept-dependent theory, what is called abstraction of natural language. It is believed to be a system of story generation systems released in the 1970s and 1980s: writers, universe, bird, others. Then, interesting things happened: Natural language understanding research came to the front on the road. The story can be seen in two different ways. A story may exist as a deliverable (text) by a sentence or as a cognitive structure formed by people at the time of browsing or viewing narrative contents. The focus of bottom-up is to learn how to understand natural language by analyzing the text that is the basis of modern natural language processing (NLP). Top-down attention to narrative-style cognitive expressions is the basis of the field of automatic narrative generation