{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/hierarchical-neural-story-generation","title":"Hierarchical Neural Story Generation","arxiv_id":"1805.04833","date":"2018-05-13","proceeding":"ACL 2018 7","authors":["Angela Fan","Mike Lewis","Yann Dauphin"],"abstract":"We explore story generation: creative systems that can build coherent and\nfluent passages of text about a topic. We collect a large dataset of 300K\nhuman-written stories paired with writing prompts from an online forum. Our\ndataset enables hierarchical story generation, where the model first generates\na premise, and then transforms it into a passage of text. We gain further\nimprovements with a novel form of model fusion that improves the relevance of\nthe story to the prompt, and adding a new gated multi-scale self-attention\nmechanism to model long-range context. Experiments show large improvements over\nstrong baselines on both automated and human evaluations. Human judges prefer\nstories generated by our approach to those from a strong non-hierarchical model\nby a factor of two to one.","url_abs":"http://arxiv.org/abs/1805.04833v1","url_pdf":"http://arxiv.org/pdf/1805.04833v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"hierarchical-neural-story-generation","repo_url":"https://github.com/pytorch/fairseq","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null},{"paper_slug":"hierarchical-neural-story-generation","repo_url":"https://github.com/Advancing-Machine-Human-Reasoning-Lab/apt","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"hierarchical-neural-story-generation","repo_url":"https://github.com/AnirudhMukherjee/story-generation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"hierarchical-neural-story-generation","repo_url":"https://github.com/Kickflip89/NLP_Project","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}},{"paper_slug":"hierarchical-neural-story-generation","repo_url":"https://github.com/facebookresearch/fairseq","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok","spdx":"MIT"}},{"paper_slug":"hierarchical-neural-story-generation","repo_url":"https://github.com/pumpkinman008/StoryGeneration","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"tf","reach":{"status":"ok"}},{"paper_slug":"hierarchical-neural-story-generation","repo_url":"https://github.com/yangkevin2/emnlp22-re3-story-generation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"story-generation","task_name":"Story Generation"}],"methods":[],"datasets_introduced":[{"slug":"writingprompts","name":"WritingPrompts","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1805.04833","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}