Natural Language Processing

开始时间: 04/22/2022 持续时间: Unknown

所在平台: CourseraArchive

课程类别: 计算机科学

大学或机构: Stanford University（斯坦福大学）

授课老师： Dan Jurafsky Christopher Manning

课程主页: https://www.coursera.org/course/nlp

课程评论: 3 个评论

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课程详情

This course covers a broad range of topics in natural language processing, including word and sentence tokenization, text classification and sentiment analysis, spelling correction, information extraction, parsing, meaning extraction, and question answering, We will also introduce the underlying theory from probability, statistics, and machine learning that are crucial for the field, and cover fundamental algorithms like n-gram language modeling, naive bayes and maxent classifiers, sequence models like Hidden Markov Models, probabilistic dependency and constituent parsing, and vector-space models of meaning.

We are offering this course on Natural Language Processing free and online to students worldwide, continuing Stanford's exciting forays into large scale online instruction. Students have access to screencast lecture videos, are given quiz questions, assignments and exams, receive regular feedback on progress, and can participate in a discussion forum. Those who successfully complete the course will receive a statement of accomplishment. Taught by Professors Jurafsky and Manning, the curriculum draws from Stanford's courses in Natural Language Processing. You will need a decent internet connection for accessing course materials, but should be able to watch the videos on your smartphone.

课程大纲

The following topics will be covered in the first two weeks:

Introduction and Overview:
Basic Text Processing: J+M Chapters 2.1, 3.9; MR+S Chapters 2.1-2.2
Minimum Edit Distance: J+M Chapter 3.11
Language Modeling: J+M Chapter 4
Spelling Correction: J+M Chapters 5.9, Peter Norvig (2007) How to Write a Spelling Corrector

课程评论(3条)

0	课程图谱 2013-05-23 14:23 0 票支持; 0 票反对这门课程的授课老师是斯坦福教授Dan Jurafsky和Christopher Manning，两位都是NLP领域的大大牛，其他不说，仅仅是他们写的书应该是很多NLPer的入门书：前者写了《自然语言处理综论》，后者写了《统计自然语言处理基础》

3	王利锋Fandy 2013-05-13 19:57 3 票支持; 0 票反对去年学习这门课时，写了一些读书笔记，分享下：斯坦福大学自然语言处理公开课笔记

2	yongsun 2013-05-13 01:34 2 票支持; 0 票反对比较基础，对NLP的各种应用有基本的介绍，但是对各种模型和原理讲解的不是很深入。PA难度不大，有个别开放式PA拿高分不容易。

课程简介

In this class, you will learn fundamental algorithms and mathematical models for processing natural language, and how these can be used to solve practical problems.