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从博客圈中提取元语句Extracting Meta Statements from the Blogosphere |
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| 课程网址: | http://videolectures.net/icwsm2011_mesquita_blogosphere/ |
| 主讲教师: | Filipe Mesquita |
| 开课单位: | 阿尔伯塔大学 |
| 开课时间: | 2011-08-18 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Information extraction systems have been recently proposed for organizing and exploring content in large online text corpora as information networks. In such networks, the nodes are named entities (e.g., people, organizations) while the edges correspond to statements indicating relations among such entities. To date, such systems extract rather primitive networks, capturing only those relations which are expressed by direct statements. In many applications, it is useful to also extract more subtle relations which are often expressed as meta statements in the text. These can, for instance provide the context for a statement (e.g., “Google acquired YouTube on October 2006”), or repercussion about a statement (e.g., “The US condemned Russia’s invasion of Georgia”). In this work, we report on a system for extracting relations expressed in both direct statements as well as in meta statements. We propose a method based on Conditional Random Fields that explores syntactic features to extract both kinds of statements seamlessly. We follow the Open Information Extraction paradigm, where a classifier is trained to recognize any type of relation instead of specific ones. Finally, our results show substantial improvements over a state-of-the-art information extraction system, both in terms of accuracy and, especially, recall. |
| 关 键 词: | 在线文本语料库; 条件随机场; 信息提取 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-27：lxf |
| 阅读次数: | 26 |