图 书 馆
远程监控关系提取的混合图模型A Hybrid Graph Model for Distant Supervision Relation Extraction |
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| 课程网址: | http://videolectures.net/eswc2019_gao_hybrid_graph/ |
| 主讲教师: | Huan Gao |
| 开课单位: | 哈佛大学 |
| 开课时间: | 2019-09-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Distant supervision has advantages of generating training data automatically for relation extraction by aligning triples in Knowledge Graphs with large-scale corpora. Some recent methods attempt to incorporate extra information to enhance the performance of relation extraction. However, there still exist two major limitations. Firstly, these methods are tailored for a specific type of information which is not enough to cover most of the cases. Secondly, the introduced extra information may contain noise. To address these issues, we propose a novel hybrid graph model, which can incorporate heterogeneous background information in a unified framework, such as entity types and human-constructed triples. These various kinds of knowledge can be integrated efficiently even with several missing cases. In addition, we further employ an attention mechanism to identify the most confident information which can alleviate the side effect of noise. Experimental results demonstrate that our model outperforms the state-of-the-art methods significantly in various evaluation metrics. |
| 关 键 词: | 远程监控关系提取; 混合图模型; 语义网; 大规模语料库对齐; 混合图模型 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2022-09-20：cyh |
| 最后编审: | 2022-09-21：cyh |
| 阅读次数: | 25 |