排序和信息抽取的概率模型Probabilistic models for ranking and information extraction |
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课程网址: | http://videolectures.net/bark08_snelson_pmfraie/ |
主讲教师: | Ed Snelson |
开课单位: | 微软公司 |
开课时间: | 2008-10-09 |
课程语种: | 英语 |
中文简介: | 我将总结一些当前的信息提取方法,这些方法旨在从非结构化文本(如web)中获取结构化信息。然后,我将讨论贝叶斯模型在这个领域是否有用,并描述从web搜索查询日志中提取类属性的第一次尝试。如果还有时间,我将继续讨论各种概率排序模型,并在可能的情况下讨论适当的贝叶斯推理技术。 |
课程简介: | I will summarize some current approaches to information extraction, which aims to obtain structured information from unstructured text sources such as the web. I will then discuss whether Bayesian modelling may be useful in this area and describe a first attempt at extracting class-attributes from web search query logs. If time remains I will move on to discuss various models for probabilistic ranking, and where possible appropriate Bayesian inference techniques. |
关 键 词: | 排序; 信息抽取; 概率模型 |
课程来源: | 视频讲座网 |
最后编审: | 2020-06-08:吴雨秋(课程编辑志愿者) |
阅读次数: | 28 |