Introduction to Natural Language Processing

开始时间: 10/05/2015 持续时间: 12 weeks

所在平台: Coursera

课程类别: 计算机科学

大学或机构: University of Michigan(美国密歇根大学)

授课老师: Dragomir R. Radev



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This course provides an introduction to the field of Natural Language Processing. It includes relevant background material in Linguistics, Mathematics, Statistics, and Computer Science. Some of the topics covered in the class are Text Similarity, Part of Speech Tagging, Parsing, Semantics, Question Answering, Sentiment Analysis, and Text Summarization.
The course includes quizzes, programming assignments, and a final exam.


Week One (Introduction) (01:58:06)
Week Two (NLP Tasks and Text Similarity) (02:27:09)
Week Three (Syntax and Parsing, Part 1) (02:00:02)
Week Four (Syntax and Parsing, Part 2) (01:50:29)
Week Five (Language Modeling and Part of Speech Tagging) (02:27:50)
Week Six (Information Extraction and Question Answering) (01:44:02)
Week Seven (Text Summarization) (01:33:55)
Week Eight (Collocations and Information Retrieval) (01:29:40)
Week Nine (Sentiment Analysis and Semantics) (01:09:38)
Week Ten (Discourse, Machine Translation, and Generation) (01:51:04)


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This course provides an introduction to the field of Natural Language Processing, including topics like Parsing, Semantics, Question Answering, and Sentiment Analysis.


自然语言处理 文本挖掘 语义分析 句法分析 问答系统 情感分析 NLP 文本相似度 语言模型 词性标注 信息抽取 机器翻译 信息检索 文本摘要