机器读心术之文本挖掘与自然语言处理 机器学习视频教程百度云资源

人工智能视频课程百度网盘

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├NLP01.pdf

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├NLP0视频部分

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├统计自然语言处理基础.pdf

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├形式语言与自动机理论.pdf

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├自然语言处理综论.pdf

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└宗成庆统计自然语言处理 .pdf

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├<2>

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├Error-tolerant Finite State Recognition.pdf

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├NLP02.pdf

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├NLP02视频部分

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└Tagging with Finite-State Transducers.pdf

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├<3>

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├icslp2002-srilm.pdf

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├NLP03.pdf

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└NLP03视频部分

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├<4>

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├crf-tutorial.pdf

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├nips01-discriminativegenerative.pdf

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├NLP04.pdf

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├NLP04视频部分

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├概率论与数理统计 第四版.pdf

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└概率图模型原理与技术.pdf

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├<5>

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├EM算法详细例子及推导.pdf

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├hhmm.pdf

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├htk.rar

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├K.zip

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├NLP05.pdf

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├NLP05视频部分

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└The-EM-algorithm.pdf

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├<6>

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├Conditional Random Fields An Introduction.pdf

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├crf.pdf

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├maxent.pdf

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├maxent_adwait97.pdf

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├Maximum Entropy Markov Models for Information Extraction and Segmentation.pdf

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├NLP06.pdf

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├NLP06视频部分

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├条件随综述.pdf

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└统计学习方法.pdf

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├<7>

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├ActivePerl-5.22.1.2201-MSWin32-x86-64int-299574.msi

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├conlleval.pl

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├CRF++-0.58.zip

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├CRF++工具包使用介绍.ppt

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├CRF++使用指南.docx

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├NLP07.pdf

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├NLP07视频部分

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└基于条件随的中文人名性别识别研究.doc

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├<8>

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├A Character-Based Joint Model for Chinese Word Segmentation.pdf

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├A Fast Decoder for Joint Word Segmentation and POS-Tagging Using a Single Discriminative Model.pdf

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├Chinese Segmentation with aWord-Based Perceptron Algorithm.pdf

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├Discriminative Training Methods for Hidden Markov Models Theory and Experiments with Perceptron Algorithms.pdf

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├Integrating Generative and Discriminative Character-Based Models for Chinese Word Segmentation.pdf

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├NLP08.pdf

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├NLP08视频部分

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├Syntactic Processing Using the GeneralizedPerceptron and Beam Search.pdf

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├Which is More Suitable for Chinese Word Segmentation the Generative Model or the Discriminative One.pdf

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├对自动分词的反思.pdf

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├基于N-最短路径方法的中文词语粗分模型.pdf

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├由字构词——中文分词新方法.pdf

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├中文分词十年回顾.pdf

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└中文文本自动分词和标注_刘开瑛.pdf

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├NLP09.pdf

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├NLP09视频部分

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└汉语问答系统关键技术研究_吴友政.pdf

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├<分词算法>

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├语料库.mp4

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├语料库建设.pdf

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├<10>

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├L及Gibbs-Sampling-yangliuy.pdf

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├L数学八卦.pdf

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├NLP10.pdf

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├NLP10视频部分

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├Parameter estimation for text analysis.pdf

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├PLSA及EM算法-yangliuy.pdf

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├Unsupervised Learning by Probabilistic Latent Semantic Analysis.pdf

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└一种自适应词性标注方法.pdf

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├A Sentimental Education Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts.pdf

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├Joint Sentiment Topic Model for Sentiment Analysis.pdf

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├NLP11.pdf

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├NLP11视频部分

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├pcfgs.pdf

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├Thumbs up Sentiment Classification using Machine Learning Techniques.pdf

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├Using_appraisal_groups_for_sentiment_analysis.pdf

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└第11课作业素材.zip

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├A Hybrid Approach to Chinese Base Noun Phrase Chunking.pdf

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├Catching the Drift Probabilistic Content Models.pdf

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├Centroid-based summarization of multiple documents.pdf

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├Coreference Resolution Current Trends and Future Directions.pdf

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├Fast Methods for Kernel-based Text Analysis.pdf

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├First-Order Probabilistic Models for Coreference Resolution.pdf

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├LATENT DIRICHLET LEARNING FOR DOCUMENT SUMMARIZATION.pdf

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├Layer-Based Dependency Parsing.pdf

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├NLP12.pdf

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├NLP12视频部分

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├Non-projective Dependency Parsing using Spanning Tree Algorithms.pdf

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├Online Large-Margin Training of Dependency Parsers.pdf

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├Sentence Fusion for Multidocument News Summarization.pdf

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├Shallow Parsing with Conditional Random Fields.pdf

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├Use of

Support Vector Learning for Chunk Identification.pdf

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├基于潜在语义分析的单文本自动摘要方法研究.pdf

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├基于潜在语义索引的文本摘要方法.PDF

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├文档摘要作业素材.zip

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└指代消解综述.pdf

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├<13>

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├A STATISTICAL APPROACH TO MACHINE TRANSLATION.pdf

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├A Statistical MT Tutorial Workbook.pdf

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├A Survey on Question and Answering Systems.pdf

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├Building Watson.pdf

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├Discriminative Training and Maximum Entropy Models for Statistical Machine Translation.pdf

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├Erratum to A Statistical Approach to Machine Translation.pdf

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├HMM-Based Word Alignment in Statistical Translation.pdf

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├NLP13.pdf

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├NLP13a.mp4

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├NLP13b.mp4

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├NLP13c.mp4

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├NLP13d.mp4

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├NLP13e.mkv

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├NLP13f.mp4

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├NLP13g.mp4

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├NLP13h.mp4

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├Statistical Machine Translation -Koehn.pdf

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├The Mathematics of Statistical Machine Translation Parameter Estimation.pdf

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├谷歌翻译.pdf

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├基于FAQ的OTC问答系统的设计与实现.pdf

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├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

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└微信聊天机器配置流程.pdf