Knowledge Commons of Institute of Automation,CAS
Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization | |
Zhu, Junnan1,2; Zhou, Yu1,2,3; Zhang, Jiajun1,2; Zong, Chengqing1,2 | |
2020-07 | |
会议名称 | Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics |
会议日期 | 2020.7.5-2020.7.10 |
会议地点 | Online |
会议录编者/会议主办者 | Association for Computational Linguistics |
出版者 | Association for Computational Linguistics |
摘要 | Cross-lingual summarization aims at summarizing a document in one language (e.g., Chinese) into another language (e.g., English). In this paper, we propose a novel method inspired by the translation pattern in the process of obtaining a cross-lingual summary. We first attend to some words in the source text, then translate them into the target language, and summarize to get the final summary. Specifically, we first employ the encoder-decoder attention distribution to attend to the source words. Second, we present three strategies to acquire the translation probability, which helps obtain the translation candidates for each source word. Finally, each summary word is generated either from the neural distribution or from the translation candidates of source words. Experimental results on Chinese-to-English and English-to-Chinese summarization tasks have shown that our proposed method can significantly outperform the baselines, achieving comparable performance with the state-of-the-art. |
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/173211/39085 |
专题 | 多模态人工智能系统全国重点实验室_自然语言处理 |
通讯作者 | Zong, Chengqing |
作者单位 | 1.National Laboratory of Pattern Recognition, Institute of Automation, CAS 2.Beijing Fanyu Technology Co., Ltd 3.School of Artificial Intelligence, University of Chinese Academy of Sciences |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Zhu, Junnan,Zhou, Yu,Zhang, Jiajun,et al. Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization[C]//Association for Computational Linguistics:Association for Computational Linguistics,2020. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
acl2020.pdf(947KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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