Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization
文献类型:会议论文
作者 | Zhu JN(朱军楠)2,3; Zhou Y(周玉)1,2,3; Zhang JJ(张家俊)2,3; Zong CQ(宗成庆)2,3; Zhou, Yu; Zong, Chengqing; Zhang, Jiajun; Zhu, Junnan |
出版日期 | 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 |
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 CQ(宗成庆); Zong, Chengqing |
作者单位 | 1.School of Artificial Intelligence, University of Chinese Academy of Sciences 2.Beijing Fanyu Technology Co., Ltd 3.National Laboratory of Pattern Recognition, Institute of Automation, CAS |
推荐引用方式 GB/T 7714 | Zhu JN,Zhou Y,Zhang JJ,et al. Attend, Translate and Summarize: An Efficient Method for Neural Cross-Lingual Summarization[C]. 见:. Online. 2020.7.5-2020.7.10. |
入库方式: OAI收割
来源:自动化研究所
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