Knowledge Commons of Institute of Automation,CAS
Machine Reading Comprehension Using Structural Knowledge Graph-aware Network | |
Delai Qiu1; Yuanzhe Zhang2; Xinwei Feng4; Xiangwen Liao1; Wenbin Jiang4; Yajuan Lyu4; Kang Liu2,3; Jun Zhao2,3 | |
2019-11 | |
会议名称 | Conference on Empirical Methods in Natural Language Processing (EMNLP 2019) |
会议日期 | Nov 3, 2019 - Nov 7, 2019 |
会议地点 | Hong Kong, China |
摘要 | Leveraging external knowledge is an emerging trend in machine comprehension task. Previous work usually utilizes knowledge graphs such as ConceptNet as external knowledge, and extracts triples from them to enhance the initial representation of the machine comprehension context. However, such method cannot capture the structural information in the knowledge graph. To this end, we propose a Structural Knowledge Graph-aware Network(SKG) model, constructing sub-graphs for entities in the machine comprehension context. Our method dynamically updates the representation of the knowledge according to the structural information of the constructed sub-graph. Experiments show that SKG achieves state-of-the-art performance on the ReCoRD dataset. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/40583 |
专题 | 多模态人工智能系统全国重点实验室_自然语言处理 |
作者单位 | 1.College of Mathematics and Computer Science, Fuzhou University 2.Institute of Automation, Chinese Academy of Sciences 3.University of Chinese Academy of Sciences 4.Baidu Inc., |
推荐引用方式 GB/T 7714 | Delai Qiu,Yuanzhe Zhang,Xinwei Feng,et al. Machine Reading Comprehension Using Structural Knowledge Graph-aware Network[C],2019. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Machine Reading Comp(189KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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