图 书 馆
Mining Complex Entities from Heterogeneous Information NetworksMining Complex Entities from Heterogeneous Information Networks |
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| 课程网址: | http://videolectures.net/ecmlpkdd2011_ciravegna_varga_networks/ |
| 主讲教师: | Fabio Ciravegna; Andrea Varga |
| 开课单位: | 谢菲尔德大学 |
| 开课时间: | 2011-11-29 |
| 课程语种: | 英语 |
| 中文简介: |  大多数有关信息挖掘的研究都集中在经典的信息提取（IE）任务上，这些任务来自结构化和非结构化文档，例如报纸文章和网页。然而，在过去的几年中，社交媒体作为共享内容的平台的惊人增长已将焦点转移到了不同类型的提取目标上。社交媒体对信息提取提出了许多挑战：对社交媒体站点（如博客，论坛，Twitter等）的贡献本质上是对话性的，因此往往是简短和非正式的，包含不精确，主观和含糊的信息。扩展的上下文（作者的身份，社会和地理上下文，它们的社会联系等）与歧义和链接信息相关。 |
| 课程简介: | Most research on information mining has focused on classic Information Extraction (IE) tasks, from structured and unstructured documents, like newspaper articles and web pages. In the last years however the staggering growth of social media as platform for sharing content has moved the focus towards a different type of extraction target. Social media pose a number of challenge to information extraction: contributions to social media sites like blogs, forums, Twitter, etc. are conversational in nature and thus tend to be brief and informal, containing imprecise, subjective and ambiguous information. The expanded context (who the author is, the social and geographical context, their social links, etc.) becomes relevant to disambiguate and interlink information. |
| 关 键 词: | 信息挖掘; 信息提取 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2021-01-06：zyk |
| 最后编审: | 2021-01-06：zyk |
| 阅读次数: | 50 |