The goal of the growing discipline of neuro-symbolic artificial intelligence (AI) is to develop AI systems with more human-like reasoning capabilities by combining symbolic reasoning with connectionist learning. We survey the literature on neuro-symbolic AI during the last two decades, including books...
《A Survey on Neural Speech Synthesis》 和《Survey: Text-to-Speech Synthesis》 这两篇的内容做一个简单的互补,融合在一篇总结里 算了,第二篇懒得整合进来了,凑合看吧 马东什么:Survey: Text-to-Speech Synthesis(补充)3 赞同 · 2 评论文章 What is text to speech(tts) 文本到语音合成是生成与给定输入...
Such systems have shown promise in a range of applications, including computational biology, fault diagnosis, training and assessment in simulators, and software verification. This joint survey reviews the personal ideas and views of several researchers on neural-symbolic learning and reasoning. The ...
随着neural-based 模型的发展和越来越多Open IE benchmarks的提出,neural-based统领了Open IE的研究,主要将Open IE作为一个序列标注(sequence tagging)或序列生成任务。即Tagging-based methods和Generative methods。 之前Open IE的survey主要聚焦于traditional Open IE,随着研究范式的改变,对最近新的Open IE方法做介绍...
Meta-Learning in Neural Networks: A Survey. The field of meta-learning, or learning-to-learn, has seen a dramatic rise in interest in recent years. Contrary to conventional approaches to AI where a g... TM Hospedales,A Antoniou,P Micaelli,... - 《IEEE Transactions on Pattern Analysis ...
A Survey on Dialogue Systems: Recent Advances and New Frontiers. Sigkdd Explorations 2017 paper Hongshen Chen, Xiaorui Liu, Dawei Yin, Jiliang Tang Challenges in Building Intelligent Open-domain Dialog Systems. arXiv 2019 paper Minlie Huang, Xiaoyan Zhu, Jianfeng Gao Neural Approaches to Conversatio...
A Survey of Neural Networks and Formal Languages. arXiv 2020 paper bib Joshua Ackerman, George Cybenko A Survey of the Usages of Deep Learning in Natural Language Processing. IEEE 2018 paper bib Daniel W. Otter, Julian R. Medina, Jugal K. Kalita A Survey on Contextual Embeddings. arXiv 202...
learning and generalization,misclassification costs,neural networks.I.INTRODUCTIONCLASSIFICATION is one of the most frequently en-countered decision making tasks of human activity.Aclassification problem occurs when an object needs to beassigned into a predefined group or class based on a numberof ...
In this survey, we provide a comprehensive description of recent neural entity linking (EL) systems. We distill their generic architecture that includes candidate generation, entity ranking, and unlinkable mention prediction components. For each of them, we summarize the prominent methods and models, ...
arXiv在2019年12月4号上传的关于GNN综述论文“A Comprehensive Survey on Graph Neural Networks“。 CSDN-专业IT技术社区-登录blog.csdn.net/yorkhunter/article/details/104056795 摘录最后一段: GNN在计算机视觉中的应用包括场景图生成、点云分类和动作识别。 识别目标之间的语义关系有助于理解视觉场景背后的含义...