文本自动摘要 - 阅读笔记 自动文摘要解决的问题描述很简单,就是用一些精炼的话来概括整篇文章的大意,用户通过阅读文摘就可以了解到原文要表达的意思. 问题包括两种解决思路, 一种是extractive,抽取式的,从原文中找到一些关键的句子,组合成一篇摘要:[最主流.应用最多.最容易的方法] 另外一种是abstractive,摘要式的,这需要计算机可以读懂原文的内容,并且用自己的意思将其表达出来.[相对来说更有一种真正人工智能的味道] 单文档Extractive (抽取式)Summarization…

两周以前读了些文档自动摘要的论文,并针对其中两篇( [2] 和 [3] )做了presentation.下面把相关内容简单整理一下. 文本自动摘要(Automatic Text Summarization)就是说在不改变文档原意的情况下,利用计算机程序自动地总结出文档的主要内容.自动摘要的应用场景非常多,例如新闻标题生成.科技文献摘要生成.搜索结果片段(snippets)生成.商品评论摘要等.在信息爆炸的互联网大数据时代,如果能用简短的文本来表达信息的主要内涵,无疑将有利于缓解信息过载问题. 一…

<Deep web data extraction based on visual information processing>作者 J Liu 上海海事大学 2017 AIHC会议登载引用 Liu J, Lin L, Cai Z, et al. Deep web data extraction based on visual information processing[J]. Journal of Ambient Intelligence & Humanized Computin…

(1)What is Sentence Centrality and Centroid-based Summarization ? Extractive summarization works by choosing a subset of the sentences in the original documents. This process can be viewed as identifying the most central sentences in a (multi-documen…

1.立体视觉基础 深度定义为物体间的距离 视差定义为同一点在左图(reference image) 和右图( target image) 中的x坐标差. 根据左图中每个点的视差得到的灰度图称为视差图. 那么根据三角几何关系可以由视差(xR - xT ) 计算出深度.b=camera基线距离,f=焦距. 离相机越近的视差越大,表现在视差图上越亮.…

懒得转成文字再写一遍了,直接把做过的PPT放出来吧. 论文连接:https://link.zhihu.com/?target=https%3A//arxiv.org/pdf/1804.09003v1.pdf          …

Han Hu--[ICCV2017]WordSup_Exploiting Word Annotations for Character based Text Detection 作者和代码 caffe检测torch7识别代码 关键词 文字检测.多方向.直接回归.$$xywh\theta$$ .multi-stage.监督学习 方法亮点 采用单词.文本行的标注信息进行监督学习来辅助字符检测 在ICDAR2013数据集上F值90+,后来的方法能超过这篇文章的寥寥无几 方法概述 利用Faster RC…

XiangBai——[CVPR2018]Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation 目录 作者和相关链接 方法概括 方法细节 实验结果 总结与收获点 参考文献和链接 作者和相关链接 作者 论文下载 方法概括 方法概述 该方法用一个端到端网络完成文字检测整个过程——除了基础卷积网络(backbone)外,包括两个并行分支和一个后处理.第一个分支是通过一个DSSD网络进行角点检…

Sequence-to-sequence Framework A Neural Attention Model for Abstractive Sentence Summarization Alexander M. Rush et al., Facebook AI Research/Harvard EMNLP2015 sentence level seq2seq模型在2014年提出,这篇论文是将seq2seq模型应用在abstractive summarization任务上比较早期的论文.同组的…

Abstract This paper presents a fundus image analysis based computer aided system for automatic classification and grading of cataract, which provides great potentials to reduce the burden of well-experienced ophthalmologists (the scarce resources) an…

from:http://deeplearning.lipingyang.org/tensorflow-examples-text/ TensorFlow examples (text-based) This page provides links to text-based examples (including code and tutorial for most examples) using TensorFlow. (Stay tuned, as I keep updating the p…

Text Classification For purpose of word embedding extrinsic evaluation, especially downstream task. Some concepts are informed from 复旦大学NLP组 Statistical-Based Method Logistic Regression Statistics perspective based text classification described as fo…

AUSUM: approach for unsupervised bug report summarization 1. Abstract 解决的bug被归类以便未来参考 缺点是还是需要手动的去细读很多的推荐的关于bug的内容 Automatic summarization of bug reports 自动汇总bug报告 之前的研究是基于学习的方法去做bug summarization 需要大量的训练集 倾向于获得模型所产生的数据 运用四种无监督的bug摘要技巧 industrial bug…

Paper about Event Detection. #@author: gr #@date: 2014-03-15 #@email: forgerui@gmail.com 看一些相关的论文. 1. <Efficient Visual Event Detection using Volumetric Features> ICCV 2005 扩展2D box 特征到3D时空特征. 构建一个实时的检测器基于容积特征. 采用传统的兴趣点方法检测事件. 2. <ARMA-HMM: A New…

Relevant Readable Links Name Interesting topic Comment Edwin Chen 非参贝叶斯   徐亦达老板 Dirichlet Process 学习目标:Dirichlet Process, HDP, HDP-HMM, IBP, CRM Alex Kendall Geometry and Uncertainty in Deep Learning for Computer Vision 语义分割 colah's blog Feature Visu…

Awesome Go      financial support to Awesome Go A curated list of awesome Go frameworks, libraries and software. Inspired by awesome-python. Contributing Please take a quick gander at the contribution guidelines first. Thanks to all contributors; you…

This article come from HEREARS-L1: Learning Tuesday 10:30–12:30; Oral Session; Room: Leonard de Vinci 10:30  ARS-L1.1—GROUP STRUCTURED DIRTY DICTIONARY LEARNING FOR CLASSIFICATION Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA; Hojj…

Did you ever wish you had more control over how your content is indexed and presented as search results? In SharePoint 2013, you have the option to add a callout from the content processing component to your own web service so you can manipulate the…

awesome-text-summarization 2018-07-19 10:45:13 A curated list of resources dedicated to text summarization Contents Corpus Opinosis dataset contains 51 articles. Each article is about a product’s feature, like iPod’s Battery Life, etc. and is a colle…

自然语言处理(NLP)是人工智能研究中极具挑战的一个分支.随着深度学习等技术的引入,NLP领域正在以前所未有的速度向前发展.但对于初学者来说,这一领域目前有哪些研究和资源是必读的?最近,Kyubyong Park 为我们整理了一份完整列表. GitHub 项目链接:https://github.com/Kyubyong/nlp_tasks 本人从事自然语言处理任务(NLP)的研究已经有很长时间了,有一天我想到,我需要为庞大的 NLP领域做一个概览,我知道自己肯定不是想要一睹 NLP 任务的全貌的…

If you see a package or project here that is no longer maintained or is not a good fit, please submit a pull request to improve this file. Thank you! Contents Awesome Go Audio and Music Authentication and OAuth Command Line Configuration Continuous I…

Natural Language Processing Tasks and Selected References I've been working on several natural language processing tasks for a long time. One day, I felt like drawing a map of the NLP field where I earn a living. I'm sure I'm not the only person who…

转:http://www.zhizhihu.com/html/y2011/3228.html l  Theory n  Introduction u  Unsupervised learning by probabilistic latent semantic analysis. u  Latent dirichlet allocation. u  Finding scientific topics. u  Rethinking LDA: Why Priors Matter u  On an e…

GitHub NLP项目:自然语言处理项目的相关干货整理 自然语言处理(NLP)是计算机科学,人工智能,语言学关注计算机和人类(自然)语言之间的相互作用的领域.本文作者为自然语言处理NLP初学者整理了一份庞大的自然语言处理项目领域的概览,包括了很多人工智能应用程序.选取的参考文献与资料都侧重于最新的深度学习研究成果.这些自然语言处理项目资源能为想要深入钻研一个自然语言处理NLP任务的人们提供一个良好的开端. 自然语言处理项目的相关干货整理: 指代消解 https://github.com/Kyu…

不错的 Tutorial: 从零到一学习计算机视觉:朋友圈爆款背后的计算机视觉技术与应用 | 公开课笔记 分享人 | 叶聪(腾讯云 AI 和大数据中心高级研发工程师) 整    理 | Leo 出    品 | 人工智能头条(公众号ID:AI_Thinker) 刚刚过去的五四青年节,你的朋友圈是否被这样的民国风照片刷屏?用户只需要在 H5 页面上提交自己的头像照片,就可以自动生成诸如此类风格的人脸比对照片,简洁操作的背后离不开计算机视觉技术和腾讯云技术的支持. 那么这个爆款应用的背后用到了哪些计…

Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection 动态池和展开递归自动编码器的意译检测 论文地址 Richard Socher,Eric H. Huang, Jeffrey Pennington∗ , Andrew Y. Ng, Christopher D. Manning Computer Science Department, Stanford University, Stanford,…

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…

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…

A curated list of awesome Go frameworks, libraries and software. Inspired by awesome-python. Contributing Please take a quick gander at the contribution guidelines first. Thanks to all contributors; you rock! If you see a package or project here that…

三种Blocking类型,这里跟数据流的Buff关系很大:■■ non-blocking transformations,每一行直接转换输出,没有等待.■■ partial-blocking transformation,直到存储一定数量的好才输出.■■ blocking transformation, 在输出前必须先读入所有行. Logical Row-Level Transformations Data   flow transformation purpose blocking type…