Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization | |
Zhu, Junnan2,3; Zhou, Yu1,2,3; Zhang, Jiajun2,3; Zong, Chengqing2,3 | |
2020-07 | |
会议日期 | 2020.7.5-2020.7.10 |
会议地点 | Online |
英文摘要 | 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. |
源文献作者 | Association for Computational Linguistics |
会议录出版者 | Association for Computational Linguistics |
语种 | 英语 |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/39085] ![]() |
专题 | 模式识别国家重点实验室_自然语言处理 |
通讯作者 | Zong, Chengqing |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.National Laboratory of Pattern Recognition, Institute of Automation, CAS 3.Beijing Fanyu Technology Co., Ltd |
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]. 见:. Online. 2020.7.5-2020.7.10. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论