Automated learning of templates for data-to-text generation: comparing rule-based, statistical and neural methodsThe current study investigated novel techniques and methods for trainable approaches to data-to-text generation. Neural Machine Translation was explored for the conversion from data to text ...
CelloType: a unified model for segmentation and classification of tissue images CelloType is an end-to-end method for spatial omics data analysis that uses a transformer-based deep neural network for concurrent object detection, segmentation and classification and performs with high accuracy on diverse...
这篇文章的主要工作在于应用了对抗训练(adversarial training)的思路来解决开放式对话生成(open-domain dialogue generation)这样一个无监督的问题。 其主体思想就是将整体任务划分到两个子系统上,一个是生成器(generative model),利用seq2seq式的模型以上文的句子作为输入,输出对应的对话语句;另一个则是一个判别器(dis...
With the resurgence of neural networks in the 2010s, in-depth learning became essential for machine learning practitioners and even for many software engineers. This book provides a wide range of role for data scientists and software engineers with experience in machine learning. You will start wit...
deep-learninggraph-neural-networksgraph-neural-networktemporal-networkdynamic-network-embeddingdynamic-graph-embeddingtemporal-graph 615stars 15watching 83forks Releases No releases published Packages No packages published Contributors4 Languages Shell100.0%...
🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio. These models can be applied on: 📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation,...
A man/machine interface based on the activity of spinal motor neurons reinnervating the muscles of a missing limb in amputees enables the generation of neural signals for potential prosthetic control. Dario Farina Ivan Vujaklija Oskar C. Aszmann ...
于是本文提出了用sequence-to-sequence模型来解决问题,即像机器翻译一样,把raw text看成是源语言,把question看成是目标语言,然后相当于是进行翻译。 1.1 推荐历史阅读 Lucy Vanderwende. 2008. The importance of being important: Question generation.https://www.microsoft.com/en-us/research/wp-content/uploads/...
🤗 Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.These models can be applied on:📝 Text, for tasks like text classification, information extraction, question answering, summarization, translation, and text generation, ...
templates. For instance, Segler et al.9. utilized extended-connectivity fingerprints (ECFPs)11with an expansion policy network to guide the template search, whereas Chen et al.10. adopted a strategy similar to a single-step retrosynthesis predictor for their neural-guided multi-step planning. ...