图 书 馆
将网络分类与网络信息抽取相结合：一个案例研究Towards Combining Web Classification and Web Information Extraction: A Case Study |
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| 课程网址: | http://videolectures.net/kdd09_luo_tcwcwiecs/ |
| 主讲教师: | Ping Luo |
| 开课单位: | 中国科学院 |
| 开课时间: | 2009-09-14 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Web content analysis often has two sequential and separate steps: Web Classification to identify the target Web pages, and Web Information Extraction to extract the metadata contained in the target Web pages. This decoupled strategy is highly ineffective since the errors in Web classification will be propagated to Web information extraction and eventually accumulate to a high level. In this paper we study the mutual dependencies between these two steps and propose to combine them by using a model of Conditional Random Fields (CRFs). This model can be used to simultaneously recognize the target Web pages and extract the corresponding metadata. Systematic experiments in our project OfCourse for online course search show that this model significantly improves the F1 value for both of the two steps. We believe that our model can be easily generalized to many Web applications. |
| 关 键 词: | 网页分类; 信息提取; 元数据; 条件随机域模型 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-12-21：lxf |
| 阅读次数: | 35 |