Knowledge Commons of Institute of Automation,CAS
Sequence Generation: From Both Sides to the Middle | |
Zhou, Long1,2; Zhang, Jiajun1,2; Zong, Chengqing1,2,3; Yu, Heng4 | |
2019-08 | |
会议名称 | Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19) |
会议日期 | August 10-16, 2019 |
会议地点 | Macao, China |
摘要 | The encoder-decoder framework has achieved promising process for many sequence generation tasks, such as neural machine translation and text summarization. Such a framework usually generates a sequence token by token from left to right, hence (1) this autoregressive decoding procedure is time-consuming when the output sentence becomes longer, and (2) it lacks the guidance of future context which is crucial to avoid under-translation. |
收录类别 | EI |
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/173211/39588 |
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.University of Chinese Academy of Sciences, Beijing, China 2.National Laboratory of Pattern Recognition, CASIA, Beijing, China 3.CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China 4.Machine Intelligence Technology Lab, Alibaba Group |
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 | Zhou, Long,Zhang, Jiajun,Zong, Chengqing,et al. Sequence Generation: From Both Sides to the Middle[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 | ||
Sequence Generation (738KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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