中文简单介绍: 本文对怎样在问答社区对用户主题兴趣及专业度建模分析进行了研究,而且提出了针对此问题的统计图模型Topics Expertise Model. 论文出处:CIKM'13. 英文摘要: Community Question Answering (CQA) websites, where people share expertise on open platforms, have become large repositories of valuable knowledge. To b…
中文简单介绍:本文对怎样对网上论坛讨论中用户交互关系进行统计建模分析进行了研究. 论文出处:CIKM'13. 英文摘要: Online discussion forums are popular social media platforms for users to express their opinions and discuss controversial issues with each other. To automatically identify the sides/stances…
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering 2019-04-25 21:43:11 Paper:https://arxiv.org/pdf/1904.04357.pdf Code: https://github.com/fanchenyou/HME-VideoQA 1. Background and Motivation:  用 Memory Network 做视觉问题…
这几天在家没事,介绍几篇CIKM上关于推荐系统的文章, Personalized Influence Maximization on Social Networks Social Recommendation Incorporating Topic Mining and Social Trust Analysis 文中作者引入topic的概念,对user, item, tag, trust的关系从topic的角度上从新解释了一遍,最后在PMF的框架上进行求解. Location Recommen…
中文简单介绍:本文对怎样基于情感分析和概率矩阵分解从网络论坛讨论中挖掘用户关系进行了深入研究. 论文出处:NAACL'13. 英文摘要: Advances in sentiment analysis have enabled extraction of user relations implied in online textual exchanges such as forum posts. However,recent studies in this direction only consi…
1.Information publication:EMNLP 2014 author:Jing Liu(在前一篇sigir基础上,拓展模型的论文) 2.What 衡量CQA中问题的困难程度,提出从两个方向建模 1)利用Competition的比较:Competition Modelq = {ua ≺q , q ≺ub , ua ≺ub , uo1 ≺ub , · · · , uoM ≺ub } , 2) question Text Similarities for QDE,相似程度的问题具有相…
Awesome Deep Vision  A curated list of deep learning resources for computer vision, inspired by awesome-php and awesome-computer-vision. Maintainers - Jiwon Kim, Heesoo Myeong, Myungsub Choi, Jung Kwon Lee, Taeksoo Kim We are looking for a maintainer…
Awesome Torch This blog from: A curated list of awesome Torch tutorials, projects and communities. Table of Contents Tutorials Model Zoo Recurrent Networks Convolutional Networks ETC Libraries Model related GPU related IDE related ETC Links Tutorials…
Saw a tweet from Andrew Liam Trask, sounds like Oxford DeepNLP 2017 class have all videos/slides/practicals all up. Thanks Andrew for the tip! Preamble This repository contains the lecture slides and course description for the Deep Natural Language P…
100篇必读的NLP论文 100 Must-Read NLP 自己汇总的论文集,已更新 链接:https://pan.baidu.com/s/16k2s2HYfrKHLBS5lxZIkuw 提取码:x7tn This is a list of 100 important natural language processing (NLP) papers that serious students and researchers working in the field should probabl…
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…
Pedestrian Attributes Recognition Paper List  2018-12-22 22:08:55 [Note] you may also check the updated version of this blog from my github: https://github.com/wangxiao5791509/Pedestrian-Attribute-Recognition-Paper-List The survey paper of pedestrian…
Summary on Visual Tracking: Paper List, Benchmarks and Top Groups 2018-07-26 10:32:15 This blog is copied from: https://github.com/foolwood/benchmark_results  Thanks for the careful list of visual tracking provided by foolwood  Visual Trackers CVPR20…
CVPR2016 Paper list ORAL SESSIONImage Captioning and Question Answering Monday, June 27th, 9:00AM - 10:05AM. These papers will also be presented at the following poster session 1 Deep Compositional Captioning: Describing Novel Object Categories Witho…
CVPR2017 paper list Machine Learning 1 Spotlight 1-1A Exclusivity-Consistency Regularized Multi-View Subspace Clustering Xiaojie Guo, Xiaobo Wang, Zhen Lei, Changqing Zhang, Stan Z. Li Borrowing Treasures From the Wealthy: Deep Transfer Learning Thro…
引用:https://feifeiyum.github.io/2017/03/28/python-django-queryset/ 说明 Models 层是 Django 框架中最强大的部分之一, 大大方便了 Web 层与数据层的交互.由于对 Model 层缺少系统理解,在使用 model Api 时经常需要查找文档, 在此做一次系统地整理.本文主要是对 Django Model 文档的翻译, 文档地址 说明 Models 层是 Django 框架中最强大的部分之一, 大大方便了 Web 层与数…
数据Data 描述事物的符号记录成为数据. 数据是数据库中存储的基本对象.   除了基本的数字之外.像图书的名称.价格.作者都可以称为数据. 将多种数据记录列成一张表.通过数据表管理数据. 每一行的数据成为记录(recorder),每一列的内容叫做字段(列field) 每一列都有自己的数据类型. 数据库Database DB 数据库是存放数据的仓库,所有的数据在计算机存储设备上保存,而且所有保存的数据会按照一定的格式进行保存. 数据库是长期储存在计算机内.有组织的.可共享的大量数据的集合. 数据…
早上来实验室,本来打算向秦师兄要文献的,不过秦师兄上午不在,所以就没有联系他.于是就开始调试郑茂的代码,发现原来那个itoa函数不是标准库里面 的,所以可能只有windows上可以用.然后我就在打电脑上变异了一下果然就是可以.不过运行结果最有一行有一个大大的ERROR,还在调试中. 下午开例会的时候,上面汇报工作,我就在下面想KDD怎么用CoAuthor,一般开会的时候灵感特别丰富,于是果然就有了一个点子.大概是这样的:   首 先样例程序那个最后一个特征粒度不够,我可以细化这个特征,就用社会挖…
Link of the Paper: https://arxiv.org/abs/1806.06422 Innovations: The authors propose a novel learning based discriminative evaluation metric that is directly trained to distinguish between human and machine-generated captions. They train an automatic…
ASP.NET MVC 3 introduced the ability to bind an incoming JSON request to an action method parameter, which is something I wrote about before. For example, suppose you have the following class defined (keeping it really simple here): public class Comi…
一旦 数据模型 创建完毕, 自然会有存取数据的需要.本文档介绍了由 models 衍生而来的数据库抽象API,及如何创建,得到及更新对象. 贯穿本参考, 我们都会引用下面的民意测验(Poll)应用程序: class Poll(models.Model): slug = models.SlugField(unique_for_month='pub_date') question = models.CharField(maxlength=255) pub_date = models.DateTime…
wesome Recurrent Neural Networks A curated list of resources dedicated to recurrent neural networks (closely related todeep learning). Maintainers -Jiwon Kim,Myungsub Choi We have pages for other topics:awesome-deep-vision,awesome-random-forest Table…
Conferences ACM SEACM Southeast Regional Conference ACM Southeast Regional Conference the oldest, continuously running, annual conference of the ACM. ACMSE provides an excellent forum for both faculty and students to present their research in a frien…
From:  http://www.pamitc.org/cvpr15/program.php Official Program for CVPR 2015 Monday, June 8 8:30am-8:40am Ballrooms A,B,C Rooms 302,304,306 Opening Remarks from Conference Chairs The opening remarks will be made from Ballrooms A,B,C, but a live vid…
转自:https://github.com/andrewt3000/DL4NLP Deep Learning for NLP resources State of the art resources for NLP sequence modeling tasks such as machine translation, image captioning, and dialog. My notes on neural networks, rnn, lstm Deep Learning for NL…
Turn-Taking:  参加会话的人参加整个会话的过程中轮流说话,end-of-utterance detection systems,是对说话转变的预测,既什么时候发生对话者之间的转变. Evaluation of Real-Time Deep Learning Turn-Taking Models for Multiple Dialogue Scenarios IMPROVING END-OF-TURN DETECTION IN SPOKEN DIALOGUES BY DETECTING…
awesome-nlp  A curated list of resources dedicated to Natural Language Processing Maintainers - Keon Kim, Martin Park Please read the contribution guidelines before contributing. Please feel free to pull requests, or email Martin Park (sp3005@nyu.edu…
Awesome Reinforcement Learning A curated list of resources dedicated to reinforcement learning. We have pages for other topics: awesome-rnn, awesome-deep-vision, awesome-random-forest Maintainers: Hyunsoo Kim, Jiwon Kim We are looking for more contri…
Preamble This repository contains the lecture slides and course description for the Deep Natural Language Processing course offered in Hilary Term 2017 at the University of Oxford. This is an advanced course on natural language processing. Automatica…
Recurrent Neural Network 2016年07月01日  Deep learning  Deep learning 字数:24235   this blog from: http://jxgu.cc/blog/recent-advances-in-RNN.html    References Robert Dionne Neural Network Paper Notes Baisc Improvements 20170326 Learning Simpler Language…