斯坦福nlp自然语言处理技术教程nlp

斯坦福nlp自然语言处理技术教程nlp

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斯坦福nlp自然语言处理技术教程nlp

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斯坦福nlp(自然语言处理)技术教程纯英文课程.附英文字幕。【课程内容】nlp stanfordweek 1course introductionbasic text processingedit distanceweek 2language modelingspelling correctionweek 3text_classificationsentiment_analysisweek 4discriminative classifiers- maximum entropy classifiersnamed entity recognition and maximum entropy sequence modelsrelation extractionweek 5advanced maximum entropy modelspos taggingparsing introductioninstructor chatweek 6probabilistic parsinglexicalized parsingdependency parsing optionalweek 7information retrievalranked information retrievalweek 8semanticsquestion answeringsummarizationinstructor chat iinatural language processing collinsweek 1introduction to natural language processingthe language modeling problemparameter estimation in language modelssummaryweek 2tagging problems and hidden markov modelsweek 3parsing and context-free grammarsprobabilistic context-free grammarsweek 4weaknesses of pcfgslexicalized pcfgsweek 5introduction to machine translationthe ibm translation modelsweek 6phrase-based translation modelsdecoding of phrase-based translation modelsweek 7log-linear modelsweek 8log-linear models for tagginglog-linear models for history-based parsingweek 9unsupervised learning- brown clusteringglobal linear modelsweek 10glms for taggingglms for dependency parsing

斯坦福nlp(自然语言处理)技术教程

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