https://www.socher.org/index.php/Main/ReasoningWithNeuralTensorNetworksForKnowledgeBaseCompletion 年份:2013 https://www.cnblogs.com/wuseguang/p/4168963.html https://blog.csdn.net/wty__/article/details/52447128 Socher等人于2013年提出了RNTN(Recursive Neural Ten…

简单说一下所谓Knowledge base(知识图谱)有两条路走,一条是对用户的问题进行语义理解,一般用Semantic Parsing(语义分析),语义分析有很多种,比如有用CCG.DCS,也有用机器翻译来做的.它得到了一个句子的逻辑表示,根据逻辑表示再到知识库里去查,查到这个结点是什么,关系是什么等,通过这种方式,自然而然就查到了. 还有一种办法就是最近几年流行的信息检索方法.比如,一个问题“where was Barack Obama born ?”这句话里出现的了一个实体——Obama,…

Collaborative Knowledge base Embedding (CKE) 在推荐系统中存在着很多与知识图谱相关的信息,以电影推荐为例: 结构化知识(structural knowledge),例如导演.类别等: 图像知识(visual knowledge),例如海报.剧照等: 文本知识(textual knowledge),例如电影描述.影评等. CKE是一个基于协同过滤和知识图谱特征学习的推荐系统: CKE使用如下方式进行三种知识的学习: 结构化知识学习:TransR.Tran…

A Generative Entity-Mention Model for Linking Entities with Knowledge Base   一．主要方法 提出了一种生成概率模型,叫做entity-mention model. Explanation: In our model, each name mention to be linked is modeled as a sample generated through a three-step generative story,…

relational data. Neural collaborative filtering and recurrent recommender systems have been successful in modeling user-item relational data. However, they are limited as they do not account for evolving users' preference over time as well as changes…

Microsoft Files是一个微软的文件数据库,从这里可以很方便的找到各个文件版本对应的下载链接. 比如今天debug需要找一个特定版本的sos.dll,从这个网站就很方便的给出了这个sos.dll所在的patch和下载地址,还是很方便的.…

1. 获取Textbox的值,根据Textbox值更改单元格颜色 Textbox值:=ReportItems!Textbox1.Value 当前单元格的值:=Me.Value =IIF(ReportItems!Textbox1.Value > 0,"Black","Red") 2. SSRS Report export to Excel the row height won't expand. SSRS报表导出到Excel的时候,行高为默认行高,没有自动增大.…

vi. To input the ^M character, press Ctrl-v , and then press Enter or return . In vim, use :set ff=unix to convert to Unix; use :set ff=dos to convert to Windows.…

http://stackoverflow.com/questions/2014636/how-to-maintain-an-emacs-based-knowledge-base…

本文是我关于论文<Reasoning With Neural Tensor Networks for Knowledge Base Completion>的学习笔记. 一.算法简介 网络的结构为: $$g(e_1,R,e_2)=u^T_Rf(e_1^TW_R^{[1:k]}e_2+V_R\begin{bmatrix} e_1 \\ e_2 \\ \end{bmatrix}+b_R)~~~~~~~~~~~(1)$$ 其中$g$为网络的输出,也即对该关系$R$ 的打分.$e_1$,$e_2$为两个…

[说明] 本文翻译自新加坡国立大学何向南博士 et al.发布在<World Wide Web>(2017)上的一篇论文<Neural Collaborative Filtering>.本人英语水平一般+学术知识匮乏+语文水平拙劣,翻译权当进一步理解论文和提高专业英语水平,translate不到key point还请见谅. 何博士的主页:http://www.comp.nus.edu.sg/~xiangnan/ 本文原文:http://www.comp.nus.edu.sg/~xi…

知识图谱综述(2021.4) 论文地址:A Survey on Knowledge Graphs: Representation, Acquisition, and Applications 目录 知识图谱综述(2021.4) 摘要 1.简介 2.概述 3.知识表示学习(KRL) 3.1 表示空间 3.1.1 点空间 3.1.2 复向量空间 3.1.3 高斯分布 3.1.4 流形和群 3.2 评分函数 3.2.1 基于距离的评分函数 3.2.2 基于语义匹配的评分函数 3.3 编码模型 3.3.…

https://zhuanlan.zhihu.com/p/35252733 可以先看看上面知乎文章里面的例子 Socher 等人于2012和2013年分别提出了两种区分词或短语类型的模型,即SU-RNN(Syntactically-Untied RNN)和MV-RNN(Matrix-Vector RNN). 1)SU-RNN对不同类型的组合节点使用不同的组合参数,如ADJ与NN组合时,使用WADJ-NN. 但是,相同的节点类型也未必可以共享同一套组合参数,如同样是形容词,“好”和“坏”与其它词在…

[清华NLP]图神经网络GNN论文分门别类,16大应用200+篇论文最新推荐 图神经网络研究成为当前深度学习领域的热点.最近,清华大学NLP课题组Jie Zhou, Ganqu Cui, Zhengyan Zhang and Yushi Bai同学对 GNN 相关的综述论文.模型与应用进行了综述,并发布在 GitHub 上.16大应用包含物理.知识图谱等最新论文整理推荐. GitHub 链接: https://github.com/thunlp/GNNPapers 目录            …

Neural Approaches to Conversational AI 学姐介绍的一篇综述阅读笔记 SIGIR 2018 主要贡献: 提出一个综合的调查关于最近几年的应用在QA,任务导向和闲聊对话机器人的神经网络方法 描述了现在和传统方法之间的联系,允许我们更好的理解研究为什么并且如何进化并且散发光在我们前行的道路上 提出先进的方法去训练对话数据,使用监督学习和强化学习的方法 概述在搜索对话和工业中使用的标志性对话系统,研究我们已经达到的成就和仍需面对的挑战 对话: task comple…

Accepted Papers     Title Primary Subject Area ID 3D computer vision 93 UPnP: An optimal O(n) solution to the absolute pose problem with universal applicability 128 Video Registration to SfM Models 168 Image-based 4-d Modeling Using 3-d Change Detect…

ICLR 2013 International Conference on Learning Representations May 02 - 04, 2013, Scottsdale, Arizona, USA ICLR 2013 Workshop Track Accepted for Oral Presentation Zero-Shot Learning Through Cross-Modal Transfer Richard Socher, Milind Ganjoo, Hamsa Sr…

ICLR 2014 International Conference on Learning Representations Apr 14 - 16, 2014, Banff, Canada Workshop Track Submitted Papers Stochastic Gradient Estimate Variance in Contrastive Divergence and Persistent Contrastive Divergence Mathias Berglund, Ta…

Abstract Semantic word spaces have been very useful but cannot express the meaning of longer phrases in a principled way. 语义词空间是非常有用的,但它不能有原则地表达较长短语的意义. Further progress towards understanding compositionality in tasks such as sentiment detection requ…

实体关系推理与知识图谱补全 Unsupervised Person Slot Filling based on Graph Mining 作者:Dian Yu, Heng Ji 机构:Computer Science Department, Rensselaer Polytechnic Institute 本文的任务为槽填充(Slot Filling),即从大规模的语料库中抽取给定实体(query)的被明确定义的属性(slot types)的值(slot fillers).对于此任务,本文叙述目…

About this Course This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good res…

http://handong1587.github.io/deep_learning/2015/10/09/training-dnn.html  //转载于 Training Deep Neural Networks  Published: 09 Oct 2015  Category: deep_learning Tutorials Popular Training Approaches of DNNs — A Quick Overview https://medium.com/@asjad/p…

Attention and Augmented Recurrent Neural Networks CHRIS OLAHGoogle Brain SHAN CARTERGoogle Brain Sept. 8 2016 Citation: Olah & Carter, 2016 Recurrent neural networks are one of the staples of deep learning, allowing neural networks to work with seque…

论文地址 Abstract Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its sense). 开放文本语义分析器被设计为通过推断相应的意义表示(MR -其意义的正式表示)来解释自然语言中的任何语句.…

本文作者:杨昆霖,2015级本科生,目前研究方向为知识图谱,推荐系统,来自中国人民大学大数据管理与分析方法研究北京市重点实验室. 引言 经常上购物网站时,注意力会被首页上的推荐吸引过去,往往本来只想买一件小商品,但却被推荐商品耗费不少时间与金钱.有时候会在想,虽然推荐商品挺吸引人的,但是它究竟为什么给出这些推荐,背后的原因却往往不得而知.本文将介绍的这篇SIGIR 2018论文提出了新的序列化推荐模型KSR(Knowledge-enhanced Sequential Recommender),利…

Keywords reasoning 推理 Deductive reasoning(for a basic logic) 演绎推理 analogy 类比:比喻 /əˈnælədʒi/ definition of terminology  /ˌtɜːmɪˈnɒlədʒi/术语的定义 proposition/ˌprɒpəˈzɪʃn/命题 distinction/dɪˈstɪŋkʃn/n. 区别:差别 arithmetic /əˈrɪθmətɪk/ 算术,算法 anthropomorphize/,æn…

转自:http://www.asimovinstitute.org/neural-network-zoo/ THE NEURAL NETWORK ZOO POSTED ON SEPTEMBER 14, 2016 BY FJODOR VAN VEEN   With new neural network architectures popping up every now and then, it's hard to keep track of them all. Knowing all the a…

The Evolved Transformer - Enhancing Transformer with Neural Architecture Search 2019-03-26 19:14:33   Paper:"The Evolved Transformer." So, David R., Chen Liang, and Quoc V. Le.  arXiv preprint arXiv:1901.11117 (2019).  Code: https://github.com/t…

 Share Your Knowledge and Experiences Paul W. Homer FRoM All oF ouR ExpERiEnCES, including both success and failure, we learn a great deal. In a young industry like software development, disseminat- ing this experience and knowledge is vital in help…

Knowledge Graph - Wikipedia https://en.wikipedia.org/wiki/Knowledge_Graph The Knowledge Graph is a knowledge base used by Google and its services to enhance its search engine's results with information gathered from a variety of sources. The informat…