Hierarchical story generation

Author: yjuz

August undefined, 2024

Web17 de dez. de 2024 · In this paper, we propose MUGC, a generation model based on MUlti - Granularity Constraints, it is to tackle the incoherence issue in story generation. The whole model adopts an Encoder-Decoder generation framework and is constrained at the token level and sentence level, respectively. In terms of token level constraint, we adopt … Web3 de ago. de 2024 · Hierarchical Neural Story Generation分层神经故事生成阅读 abstract先生成前提，接着转换成文本段落，最终组合成故事技术: 模型融合以及门控注 …

Fine-Grained Controllable Text Generation Using Non-Residual …

WebHierarchical Story Generation： First, generate the premise or prompt of the story using the convolutional language model. Second, use a seq2seq model to generate a story … Web17 de nov. de 2024 · Learning to Predict Explainable Plots for Neural Story Generation. Gang Chen, Yang Liu, Huanbo Luan, Meng Zhang, Qun Liu, and Maosong Sun. arxiv … des moines iowa breaking news

A Survey of Deep Learning Applied to Story Generation

WebWe explore story generation: creative sys-tems that can build coherent and ﬂuent passages of text about a topic. We collect a large dataset of 300K human-written sto-ries paired … Web25 de fev. de 2024 · The scope of this survey paper is to explore the challenges in automatic story generation. We hope to contribute in the following ways: 1. Explore how previous … Web21 de ago. de 2024 · This increases the probability that certain events will occur as the story generation progresses. The hierarchical fusion model (Fan et al. 2024) takes a one-sentence description of the story content and produces a paragraph. PlotMachines (Rashkin et al. 2024) conditions a generator on a set of concept phrases given by a user. des moines iowa antenna tv schedule

Story Generation Based on Multi-granularity Constraints

ACL 2024 Paper Review: Hierarchical Neural Story Generation

Webalogue generation (Serban et al.,2016), in which the input and output sequences are often of similar lengths, one major difﬁculty in neural story gen-eration is that the output sequence is much longer than the input sequence. As a result, hierarchical models for neural story generation have been in-tensively studied recently (Xu et al.,2024;Fan Web14 de dez. de 2024 · Alphabet’s DeepMind has developed a new AI tool that could have a big impact on the creative fields. Dramatron relies on existing, pre-trained large language models to generate long and coherent text that could help co-write theater scripts and screenplays. The AI tool relies on hierarchical story generation to achieve consistency … des moines iowa bbbWeb18 de set. de 2024 · TVStoryGen: A Dataset for Generating Stories with Character Descriptions. Mingda Chen, Kevin Gimpel. We introduce TVStoryGen, a story generation dataset that requires generating detailed TV show episode recaps from a brief summary and a set of documents describing the characters involved. Unlike other story generation … des moines iowa business for sale

"Web13 de mai. de 2024 · We explore story generation: creative systems that can build coherent and fluent passages of text about a topic.We collect a large dataset of 300K human-written stories paired with writing prompts from an online forum. Our dataset enables hierarchical story generation, where the model first generates a premise, and then … " - Hierarchical story generation

Hierarchical story generation

Plan-And-Write: Towards Better Automatic Storytelling

Web21 de mai. de 2024 · We propose a hierarchically structured reinforcement learning approach to address the challenges of planning for generating coherent multi-sentence stories for the visual storytelling task. Within our … WebRecent works have mitigated the issue by conditioning the story generation on plans or outlines (Yang et al., 2024;Fan et al., 2024). To date, the effectiveness of planning for story generation ...

Did you know?

Webperformwellonmanynatural language generation tasks such as machine translation (Wang et al., 2024),textsummarization (You et al.,2024),story generation (Fan et al., 2024), etc. To learn the order of tokens in a sequence or to model the relationship between tokens, Trans-former requires to be injected with positional en- Web7 de abr. de 2024 · 10.18653/v1/P19-1254. Bibkey: fan-etal-2024-strategies. Cite (ACL): Angela Fan, Mike Lewis, and Yann Dauphin. 2024. Strategies for Structuring Story Generation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 2650–2660, Florence, Italy. Association for …

WebWe explore story generation: creative systems that can build coherent and fluent passages of text about a topic. We collect a large dataset of 300K human-written stories paired … Web1 de mai. de 2024 · This work collects a large dataset of 300K human-written stories paired with writing prompts from an online forum that enables hierarchical story generation, …

Web2 de abr. de 2024 · This work collects a large dataset of 300K human-written stories paired with writing prompts from an online forum that enables hierarchical story generation, where the model first generates a premise, and then transforms it into a passage of text. Expand. 850. PDF. Web3D Neural Field Generation using Triplane Diffusion Jesse Shue · Eric Chan · Ryan Po · Zachary Ankner · Jiajun Wu · Gordon Wetzstein Putting People in Their Place: …

WebHierarchical Neural Story Generation (Fan et al., 2024) The following commands provide an example of pre-processing data, training a model, and generating text for story …

Web3 de abr. de 2024 · Automated story generation is a challenging task which aims to automatically generate convincing stories composed of successive plots correlated with consistent characters. Most recent generation ... des moines iowa bank logoWeb1 de jan. de 2024 · Conclusion We proposed a Transformer-based Hierarchical Topic-to-Essay Generation Model (THTEG) for TEG. We design our model based on Transformer and use the hierarchical text generation methods. We also introduce the coverage loss to the loss function of the model. We train the model in the real dataset ZhiHu. chucks restaurant montgomery alWeb1 de out. de 2024 · Story generation, namely, generating a reasonable story from a leading context, is an important but challenging task. In spite of the success in modeling fluency and local coherence, existing ... chucks restaurant montgomery chucksroadhouse.comWebAbstract. We explore story generation: creative systems that can build coherent and fluent passages of text about a topic.We collect a large dataset of 300K human-written stories paired with writing prompts from an online forum. Our dataset enables hierarchical story generation, where the model first generates a premise, and then transforms it into a … chucks restorations nzWebIf you want to generate the unannotated story files yourself: The code we used to generate text from the Fusion Model can be found in fairseq . The code we used to finetune and … des moines iowa building inspectionsWebStep 2: Other prerequisites. Note that our annotation script additionally uses these three files: data/arora_sentence_embedder.pkl: This is needed to compute the Arora sentence embeddings for the story-prompt similarity metric.To see how it was produced, follow the instructions in make_arora_sent_embedder.py.; data/unigram_probdist.json: This is … des moines iowa average temperature by month