Knowledge Commons of Institute of Automation,CAS
Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding | |
Zhixing Tian1,2; Yuanzhe Zhang1; Xinwei Feng3; Wenbin Jiang3; Yajuan Lyu3; Kang Liu1,2; Jun Zhao1,2 | |
2020-04 | |
会议名称 | The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) |
会议日期 | Feb 7, 2020 - Feb 12, 2020 |
会议地点 | New York, USA |
摘要 | This paper focuses on the answer sentence selection task. Unlike previous work, which only models the relation between the question and each candidate sentence, we propose Multi-Perspective Graph Encoder (MPGE) to take the relations among the candidate sentences into account and capture the relations from multiple perspectives. By utilizing MPGE as a module, we construct two answer sentence selection models which are based on traditional representation and pre-trained representation, respectively. We conduct extensive experiments on two datasets, WikiQA and SQuAD. The results show that the proposed MPGE is effective for both types of representation. Moreover, the overall performance of our proposed model surpasses the state-of-the-art on both datasets. Additionally, we further validate the robustness of our method by the adversarial examples of AddSent and AddOneSent. |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 自然语言处理 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/40584 |
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.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.Baidu Inc. |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhixing Tian,Yuanzhe Zhang,Xinwei Feng,et al. Capturing Sentence Relations for Answer Sentence Selection with Multi-Perspective Graph Encoding[C],2020. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Capturing Sentence R(553KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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