科研成果详情

题名An Effective Length Controlling Unit For Text Summarization
作者
发表日期2021
会议名称The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021)
会议录名称Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
ISBN9781954085541
页码363-370
会议日期August 1-6, 2021
会议地点Bangkok, Thailand
摘要

Fixed length summarization aims at generating summaries with a preset number of words or characters. Most recent researches incorporate length information with word embeddings as the input to the recurrent decoding unit, causing a compromise between length controllability and summary quality. In this work, we present an effective length controlling unit Length Attention (LenAtten) to break this trade-off. Experimental results show that LenAtten not only brings improvements in length controllability and ROGUE scores but also has great generalization ability. In the task of generating a summary with the target length, our model is 732 times better than the bestperforming length controllable summarizer in length controllability on the CNN/Daily Mail dataset.

DOI10.18653/v1/2021.findings-acl.31
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语种英语English
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被引频次[WOS]:0   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符https://repository.uic.edu.cn/handle/39GCC9TT/6862
专题理工科技学院
通讯作者Su, Weifeng
作者单位
1.Computer Science and Technology Programme, Division of Science and Technology, BNU-HKBU United International College, Zhuhai, China
2.Data Science Programme, Division of Science and Technology, BNU-HKBU United International College, Zhuhai, China
3.Guangdong Key Lab of AI and Multi-Modal Data Processing, BNU-HKBU United International College, Zhuhai, China
第一作者单位北师香港浸会大学
通讯作者单位北师香港浸会大学
推荐引用方式
GB/T 7714
Yu, Zhongyi,Wu, Zhenghao,Zheng, Haoet al. An Effective Length Controlling Unit For Text Summarization[C], 2021: 363-370.
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