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『课程目录』:
├─第01课 自然语言处理与文本挖掘概述
│ │ NLP01.pdf
│ │ 宗成庆统计自然语言处理 .pdf
│ │ 形式语言与自动机理论.pdf
│ │
│ └─视频
│ NLP01a.mp4
│ NLP01b.mp4
│ NLP01c.mp4
│ NLP01d.mp4
│ NLP01e.mp4
│ NLP01f.mp4
│ NLP01g.mp4
│ NLP01h.mp4
│
├─第02课 自动机及其应用,文稿自动校正,歧义消除
│ │ Error-tolerant Finite State Recognition.pdf
│ │ NLP02.pdf
│ │ Tagging with Finite-State Transducers.pdf
│ │
│ └─视频
│ NLP02a.mp4
│ NLP02b.mp4
│ NLP02c.mp4
│ NLP02d.mp4
│ NLP02e.mp4
│ NLP02f.mp4
│ NLP02g.mp4
│ NLP02h.mp4
│
├─第03课 语言模型,平滑方法
│ │ icslp2002-srilm.pdf
│ │ NLP03.pdf
│ │
│ └─视频
│ NLP03a.mp4
│ NLP03b.mp4
│ NLP03c.mp4
│ NLP03d.mp4
│ NLP03e.mp4
│ NLP03f.mp4
│ NLP03g.mp4
│ NLP03h.mp4
│
├─第04课 概率图模型,生成式模型与判别式模型,贝叶斯网,马尔科夫链,隐马尔科夫模型HMM
│ │ crf-tutorial.pdf
│ │ nips01-discriminativegenerative.pdf
│ │ NLP04.pdf
│ │ 概率图模型原理与技术.pdf
│ │ 概率论与数理统计 第四版.pdf
│ │
│ └─视频
│ NLP04a.mp4
│ NLP04b.mp4
│ NLP04c.mp4
│ NLP04d.mp4
│ NLP04e.mp4
│ NLP04f.mp4
│ NLP04g.mp4
│ NLP04h.mp4
│
├─第05课 马尔科夫网,最大熵模型,条件随机场CRF,实现HMM和CRF的软件
│ │ EM算法详细例子及推导.pdf
│ │ hhmm.pdf
│ │ htk.rar
│ │ HTK.zip
│ │ NLP05.pdf
│ │ The-EM-algorithm.pdf
│ │
│ └─视频
│ NLP05a.mp4
│ NLP05b.mp4
│ NLP05e.mp4
│ NLP05f.mp4
│ NLP05h.mp4
│
├─第06课 汉语分词专题。世界上最难的语言名不虚传
│ │ Conditional Random Fields An Introduction.pdf
│ │ crf-tutorial.pdf
│ │ crf.pdf
│ │ maxent.pdf
│ │ Maximum Entropy Markov Models for Information Extraction and Segmentation.pdf
│ │ NLP06.pdf
│ │ 条件随机场综述.pdf
│ │
│ └─视频
│ NLP06a.mp4
│ NLP06b.mp4
│ NLP06c.mp4
│ NLP06d.mp4
│ NLP06e.mp4
│ NLP06f.mp4
│ NLP06g.mp4
│ NLP06h.mp4
│
├─第07课 命名实体识别,词性标注,从文本里挖出最重要的内容
│ │ CRF++.part1.rar
│ │ CRF++.part2.rar
│ │ CRF++.part3.rar
│ │ CRF++使用指南.docx
│ │ CRF++工具包使用介绍.ppt
│ │ NLP07.pdf
│ │
│ └─视频
│ NLP07a.mp4
│ NLP07b.mp4
│ NLP07c.mp4
│ NLP07d.mp4
│ NLP07e.mp4
│ NLP07f.mp4
│ NLP07g.mp4
│ NLP07h.mp4
│
├─第08课 句法分析找出句子的重点
│ │ NLP08.pdf
│ │ 中文文本自动分词和标注_刘开瑛.pdf
│ │
│ └─视频
│ NLP08a.mp4
│ NLP08b.mp4
│ NLP08c.mp4
│ NLP08d.mp4
│ NLP08e.mp4
│ NLP08f.mp4
│ NLP08g.mp4
│ NLP08h.mp4
│
├─第09课 语义分析与篇章分析,让机器象语言学家那样思考
│ │ NLP09.pdf
│ │ 汉语问答系统关键技术研究_吴友政.pdf
│ │
│ └─视频
│ NLP09a.mp4
│ NLP09b.mp4
│ NLP09d.mp4
│ NLP09f.mp4
│ NLP09h.mp4
│
├─第10课 文本分类,情感分析。应用案例:互联网自动门户,评论倾向性分析
│ │ LDA数学八卦.pdf
│ │ NLP10.pdf
│ │ 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
│ │
│ ├─icwb2-data
│ │ │ diffutils-2.8.7-1.exe
│ │ │ README
│ │ │ 资料使用说明.txt
│ │ │
│ │ ├─doc
│ │ │ instructions.txt
│ │ │ result_instructions.txt
│ │ │
│ │ ├─gold
│ │ │ as_testing_gold.txt
│ │ │ as_testing_gold.utf8
│ │ │ as_training_words.txt
│ │ │ as_training_words.utf8
│ │ │ cityu_test_gold.txt.baiduyun.downloading
│ │ │ cityu_test_gold.utf8
│ │ │ cityu_training_words.txt
│ │ │ cityu_training_words.utf8
│ │ │ msr_test_gold.txt
│ │ │ msr_test_gold.utf8
│ │ │ msr_training_words.txt
│ │ │ msr_training_words.utf8
│ │ │ pku_test_gold.txt
│ │ │ pku_test_gold.utf8
│ │ │ pku_training_words.txt
│ │ │ pku_training_words.utf8
│ │ │
│ │ ├─scripts
│ │ │ dw.py
│ │ │ mwseg.pl
│ │ │ score
│ │ │
│ │ ├─testing
│ │ │ as_test.txt
│ │ │ as_test.utf8
│ │ │ cityu_test.txt
│ │ │ cityu_test.utf8
│ │ │ msr_test.txt
│ │ │ msr_test.utf8
│ │ │ pku_test.txt
│ │ │ pku_test.utf8
│ │ │
│ │ └─training
│ │ as_training.b5
│ │ as_training.utf8
│ │ cityu_training.txt.baiduyun.downloading
│ │ cityu_training.utf8
│ │ msr_training.txt
│ │ msr_training.utf8
│ │ pku_training.txt
│ │ pku_training.utf8
│ │
│ └─视频
│ NLP10a.mp4
│ NLP10b.mp4
│ NLP10c.mp4
│ NLP10d.mp4
│ NLP10e.mp4
│ NLP10f.mp4
│ NLP10g.mp4
│ NLP10h.mp4
│ NLP10i.mp4
│
├─第11课 信息检索系统,搜索引擎原理,问答系统,应用案例:客服机器人是怎么造出来的?
│ │ Joint Sentiment Topic Model for Sentiment Analysis.pdf
│ │ NLP11.pdf
│ │ 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
│ │
│ └─视频
│ NLP11a.mp4
│ NLP11b.avi
│ NLP11c.avi
│ NLP11d.avi
│ NLP11e.avi
│ NLP11f.mp4
│ NLP11g.mp4
│ NLP11h.mp4
│
├─第12课 文本深度挖掘:自动文摘与信息抽取
│ │ A Hybrid Approach to Chinese Base Noun Phrase Chunking.pdf
│ │ Catching the Drift Probabilistic Content Models, with Applications to Generation and Summarization.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
│ │ 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
│ │ 指代消解综述.pdf
│ │
│ └─视频
│ NLP12a.mp4
│ NLP12b.mp4
│ NLP12c.mp4
│ NLP12d.mp4
│ NLP12e.mp4
│ NLP12f.mp4
│ NLP12g.mp4
│ NLP12h.mp4
│
└─第13课 机器翻译与语音识别技术介绍、IBM Watson系统的认知智慧
│ A STATISTICAL APPROACH TO MACHINE TRANSLATION.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
│ Statistical Machine Translation -Koehn.pdf
│ The Mathematics of Statistical Machine Translation Parameter Estimation.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
│ 基于FAQ的OTC问答系统的设计与实现.pdf
│ 微信聊天机器配置流程.pdf
│ 谷歌翻译.pdf
│
└─视频
NLP13a.mp4
NLP13b.mp4
NLP13c.mp4
NLP13e.mp4
NLP13f.mp4
NLP13h.mp4
『课程下载』:
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