图 书 馆
学习如何从大量的新闻集合中提取安全事件的有关信息Learning to Extract Security-related Event Information from Large News Collections |
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| 课程网址: | http://videolectures.net/mmdss07_tanev_les/ |
| 主讲教师: | Hristo Tanev |
| 开课单位: | 联合研究中心 |
| 开课时间: | 2007-12-03 |
| 课程语种: | 英语 |
| 中文简介: | 从文本中自动提取事件是一项重要而复杂的文本挖掘任务。它的目标是检测文本中描述的特殊 ¯ c 类型的事件描述。对于每个事件, 事件提取系统都应 ¯ 时间、位置、此事件的参与者及其角色, 以及其他相关的情况。在本讲座中, 我们提出了一种学习信息提取模式的机器学习方法、半自动词法采集方法, 以及在自动检测的工作原型关系中实现的信息聚合策略新闻文章群中与安全相关的事件。 |
| 课程简介: | Automatic Event Extraction from texts emerges as an im- portant and complex text mining task. Its goal is to detect description of events of a speci¯c type described in the text. For each event the Event Extraction system is expected to ¯nd the time, the location, the participants in this event and their roles, as well as other related circum- stances. In this talk we present a Machine Learning approach for learning of information extraction patterns, a method for semi-automatic lexical acquisition, and an information aggregation strategy implemented in a working prototype nexus which detects automatically security related events in clusters of news articles. |
| 关 键 词: | 文本; 机器学习; 信息抽取 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-23：liqy |
| 阅读次数: | 48 |