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统计句法分析中的生成和判别模型

Generative and Discriminative Models in Statistical Parsing
课程网址: http://videolectures.net/nipsworkshops09_collins_gdmsp/  
主讲教师: Michael Collins
开课单位: 麻省理工学院
开课时间: 2010-03-26
课程语种: 英语
中文简介:
自从最早开展统计分析工作以来,一个不变的主题是发展具有互补优势的判别和生成模型。在这项工作中,我将简要介绍统计解析中的判别和生成模型,重点关注各种模型的优缺点。我将从早期基于判别历史的模型(特别是SPATTER解析器)开始,通过基于词汇化(依赖)表示的早期判别和生成模型,到最近基于条件随机场的模型的工作。最后,我将描述结合判别模型和生成模型的半监督方法的研究。
课程简介: Since the earliest work on statistical parsing, a constant theme has been the development of discriminative and generative models with complementary strengths. In this work I’ll give a brief history of discriminative and generative models in statistical parsing, focusing on strengths and weaknesses of the various models. I’ll start with early work on discriminative history-based models (in particular, the SPATTER parser), moving through early discriminative and generative models based on lexicalized (dependency) representations, through to recent work on conditional-random-field based models. Finally, I’ll describe research on semi-supervised approaches that combine discriminative and generative models.
关 键 词: 统计分析; 条件随机场; 半监督方法
课程来源: 视频讲座网
最后编审: 2019-09-07:lxf
阅读次数: 58