A Joint Model for Question Answering over Multiple Knowledge Bases | |
Yuanzhe Zhang; Shizhu He; Kang Liu; Jun Zhao | |
2016-02 | |
会议日期 | Feb 12, 2016 - Feb 17, 2016 |
会议地点 | Phoenix, USA |
英文摘要 | As the amount of knowledge bases (KBs) grows rapidly, the problem of question answering (QA) over multiple KBs has drawn more attention. The most significant distinction between multiple KB-QA and single KB-QA is that the former must consider the alignments between KBs. The pipeline strategy first constructs the alignments independently, and then uses the obtained alignments to construct queries. However, alignment construction is not a trivial task, and the introduced noises would be passed on to query construction. By contrast, we notice that alignment construction and query construction are interactive steps, and jointly considering them would be beneficial. To this end, we present a novel joint model based on integer linear programming (ILP), uniting these two procedures into a uniform framework. The experimental results demonstrate that the proposed approach outperforms state-of-the-art systems, and is able to improve the performance of both alignment construction and query construction. |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/40600] ![]() |
专题 | 模式识别国家重点实验室_自然语言处理 |
通讯作者 | Yuanzhe Zhang |
作者单位 | National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences |
推荐引用方式 GB/T 7714 | Yuanzhe Zhang,Shizhu He,Kang Liu,et al. A Joint Model for Question Answering over Multiple Knowledge Bases[C]. 见:. Phoenix, USA. Feb 12, 2016 - Feb 17, 2016. |
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