[Coursera] Natural Language Processing

Course Description: COMS W4705 is a graduate introduction to natural language processing, the study of human language from a computational perspective. We will cover syntactic, semantic and discourse processing models. The emphasis will be on machine learning or corpus-based methods and algorithms. We will describe the use of these methods and models in applications including syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization. Syllabus: Here is a tentative syllabus for class: Introduction Estimation techniques, and language modeling Tagging, hidden Markov models Statistical parsing Machine translation Log-linear models Conditional random fields, global linear models Unsupervised and semi-supervised learning in NLP

课程描述：COMS W4705是一门研究生级别的自然语言处理导论课程，该课程从计算角度研究人类语言。我们将涵盖句法、语义和语篇处理模型。重点将放在基于机器学习或语料库的方法和算法上。我们将描述这些方法和模型在包括句法解析、信息提取、统计机器翻译、对话系统和摘要等应用中的使用。课程大纲：以下是本课程的初步大纲：引言、估计技术及语言模型、标注、隐马尔可夫模型、统计句法分析、机器翻译、对数线性模型、条件随机场、全局线性模型、自然语言处理中的无监督和半监督学习。