图 书 馆
基于类型依赖树的核的语义关系抽取Semantic Relation Extraction With Kernels Over Typed Dependency Trees |
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| 课程网址: | http://videolectures.net/kdd2010_reichartz_sre/ |
| 主讲教师: | Frank Reichartz |
| 开课单位: | 弗劳恩霍夫协会 |
| 开课时间: | 2010-10-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | An important step for understanding the semantic content of text is the extraction of semantic relations between entities in natural language documents. Automatic extraction techniques have to be able to identify different versions of the same relation which usually may be expressed in a great variety of ways. Therefore these techniques benefit from taking into account many syntactic and semantic features, especially parse trees generated by automatic sentence parsers. Typed dependency parse trees are edge and node labeled parse trees whose labels and topology contains valuable semantic clues. This information can be exploited for relation extraction by the use of kernels over structured data for classification. In this paper we present new tree kernels for relation extraction over typed dependency parse trees. On a public benchmark data set we are able to demonstrate a significant improvement in terms of relation extraction quality of our new kernels over other state-of-the-art kernels. |
| 关 键 词: | 语义内容; 自动提取技术; 类型化依赖关系解析树; 公共基准数据集 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2021-05-15：yumf |
| 阅读次数: | 35 |