开始时间: 04/22/2022 持续时间: 12 weeks
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所在平台: CourseraArchive 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 |
课程主页: https://www.coursera.org/course/nlpintro
课程评论：没有评论
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)
