吾爱编程

标题: 机器学习高端课程机器读心术之文本挖掘与自然语言处理炼数成金文本挖掘 [打印本页]

作者: admin 时间: 2018-1-16 10:00
标题: 机器学习高端课程机器读心术之文本挖掘与自然语言处理炼数成金文本挖掘
课程名称:   机器学习高端课程机器读心术之文本挖掘与自然语言处理炼数成金文本挖掘

课程简介:

----------------------课程目录------------------------------

│  ├<1>
│  │  ├NLP01.pdf
│  │  ├NLP0视频部分
│  │  ├统计自然语言处理基础.pdf
│  │  ├形式语言与自动机理论.pdf
│  │  ├自然语言处理综论.pdf
│  │  └宗成庆统计自然语言处理 .pdf
│  ├<2>
│  │  ├Error-tolerant Finite State Recognition.pdf
│  │  ├NLP02.pdf
│  │  ├NLP02视频部分
│  │  └Tagging with Finite-State Transducers.pdf
│  ├<3>
│  │  ├icslp2002-srilm.pdf
│  │  ├NLP03.pdf
│  │  └NLP03视频部分
│  ├<4>
│  │  ├crf-tutorial.pdf
│  │  ├nips01-discriminativegenerative.pdf
│  │  ├NLP04.pdf
│  │  ├NLP04视频部分
│  │  ├概率论与数理统计第四版.pdf
│  │  └概率图模型原理与技术.pdf
│  ├<5>
│  │  ├EM算法详细例子及推导.pdf
│  │  ├hhmm.pdf
│  │  ├htk.rar
│  │  ├HTK.zip
│  │  ├NLP05.pdf
│  │  ├NLP05视频部分
│  │  └The-EM-algorithm.pdf
│  ├<6>
│  │  ├Conditional Random Fields An Introduction.pdf
│  │  ├crf.pdf
│  │  ├maxent.pdf
│  │  ├maxent_adwait97.pdf
│  │  ├Maximum Entropy Markov Models for Information Extraction and Segmentation.pdf
│  │  ├NLP06.pdf
│  │  ├NLP06视频部分
│  │  ├条件随机场综述.pdf
│  │  └统计学习方法.pdf
│  ├<7>
│  │  ├ActivePerl-5.22.1.2201-MSWin32-x86-64int-299574.msi
│  │  ├conlleval.pl
│  │  ├CRF++-0.58.zip
│  │  ├CRF++工具包使用介绍.ppt
│  │  ├CRF++使用指南.docx
│  │  ├NLP07.pdf
│  │  ├NLP07视频部分
│  │  └基于条件随机场的中文人名性别识别研究.doc
│  ├<8>
│  │  ├A Character-Based Joint Model for Chinese Word Segmentation.pdf
│  │  ├A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model.pdf
│  │  ├Chinese Segmentation with aWord-Based Perceptron Algorithm.pdf
│  │  ├Discriminative Training Methods for Hidden Markov Models Theory and Experiments with Perceptron Algorithms.pdf
│  │  ├Integrating Generative and Discriminative Character-Based Models for Chinese Word Segmentation.pdf
│  │  ├NLP08.pdf
│  │  ├NLP08视频部分
│  │  ├Syntactic Processing Using the GeneralizedPerceptron and Beam Search.pdf
│  │  ├Which is More Suitable for Chinese Word Segmentation the Generative Model or the Discriminative One.pdf
│  │  ├对自动分词的反思.pdf
│  │  ├基于N-最短路径方法的中文词语粗分模型.pdf
│  │  ├由字构词——中文分词新方法.pdf
│  │  ├中文分词十年回顾.pdf
│  │  └中文文本自动分词和标注_刘开瑛.pdf
│  ├<9>
│  │  ├NLP09.pdf
│  │  ├NLP09视频部分
│  │  └汉语问答系统关键技术研究_吴友政.pdf
│  ├<分词算法>
│  │  ├语料库.mp4
│  │  ├语料库建设.pdf
│  │  └<icwb2-data>
│  ├<10>
│  │  ├LDA及Gibbs-Sampling-yangliuy.pdf
│  │  ├LDA数学八卦.pdf
│  │  ├NLP10.pdf
│  │  ├NLP10视频部分
│  │  ├Parameter estimation for text analysis.pdf
│  │  ├PLSA及EM算法-yangliuy.pdf
│  │  ├Unsupervised Learning by Probabilistic Latent Semantic Analysis.pdf
│  │  └一种自适应词性标注方法.pdf
│  ├<11>
│  │  ├A Sentimental Education Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts.pdf
│  │  ├Joint Sentiment Topic Model for Sentiment Analysis.pdf
│  │  ├NLP11.pdf
│  │  ├NLP11视频部分
│  │  ├pcfgs.pdf
│  │  ├Thumbs up Sentiment Classification using Machine Learning Techniques.pdf
│  │  ├Using_appraisal_groups_for_sentiment_analysis.pdf
│  │  └第11课作业素材.zip
│  ├<12>
│  │  ├A Hybrid Approach to Chinese Base Noun Phrase Chunking.pdf
│  │  ├Catching the Drift Probabilistic Content Models.pdf
│  │  ├Centroid-based summarization of multiple documents.pdf
│  │  ├Coreference Resolution Current Trends and Future Directions.pdf
│  │  ├Fast Methods for Kernel-based Text Analysis.pdf
│  │  ├First-Order Probabilistic Models for Coreference Resolution.pdf
│  │  ├LATENT DIRICHLET LEARNING FOR DOCUMENT SUMMARIZATION.pdf
│  │  ├Layer-Based Dependency Parsing.pdf
│  │  ├NLP12.pdf
│  │  ├NLP12视频部分
│  │  ├Non-projective Dependency Parsing using Spanning Tree Algorithms.pdf
│  │  ├Online Large-Margin Training of Dependency Parsers.pdf
│  │  ├Sentence Fusion for Multidocument News Summarization.pdf
│  │  ├Shallow Parsing with Conditional Random Fields.pdf
│  │  ├Use of  Support Vector Learning for Chunk Identification.pdf
│  │  ├基于潜在语义分析的单文本自动摘要方法研究.pdf
│  │  ├基于潜在语义索引的文本摘要方法.PDF
│  │  ├文档摘要作业素材.zip
│  │  └指代消解综述.pdf
│  ├<13>
│  │  ├A STATISTICAL APPROACH TO MACHINE TRANSLATION.pdf
│  │  ├A Statistical MT Tutorial Workbook.pdf
│  │  ├A Survey on Question and Answering Systems.pdf
│  │  ├Building Watson.pdf
│  │  ├Discriminative Training and Maximum Entropy Models for Statistical Machine Translation.pdf
│  │  ├Erratum to A Statistical Approach to Machine Translation.pdf
│  │  ├HMM-Based Word Alignment in Statistical Translation.pdf
│  │  ├NLP13.pdf
│  │  ├NLP13a.mp4
│  │  ├NLP13b.mp4
│  │  ├NLP13c.mp4
│  │  ├NLP13d.mp4
│  │  ├NLP13e.mkv
│  │  ├NLP13f.mp4
│  │  ├NLP13g.mp4
│  │  ├NLP13h.mp4
│  │  ├Statistical Machine Translation -Koehn.pdf
│  │  ├The Mathematics of Statistical Machine Translation Parameter Estimation.pdf
│  │  ├谷歌翻译.pdf
│  │  ├基于FAQ的OTC问答系统的设计与实现.pdf
│  │  ├刘群-机器翻译原理与方法讲义(03)基于词的统计机器翻译方法.pdf
└  └  └微信聊天机器配置流程.pdf

下载地址：

欢迎光临吾爱编程 (http://www.52pg.net/)