Page 174 - 《软件学报》2021年第12期

3838 Journal of Software 软件学报 Vol.32, No.12, December 2021

[6] Liu N, Lu Y, Tang XJ, et al. Multi-document summarization algorithm based on significance topic of LDA. Journal of Frontier of
Computer Science and Technology, 2015,9(2):242−248 (in Chinese with English abstract).
[7] Wu RS, Liu K, Wang HL. An evolutionary summarization system based on local-global topic relationship. Journal of Chinese
Information Processing, 2018,32(9):75−83 (in Chinese with English abstract).
[8] Mani I, Bloedorn E. Multi-document summarization by graph search and matching. In: Proc. of the 14th National Conf. on
Artificial Intelligence and 9th Conf. on Innovative Applications of Artificial Intelligence. 1997. 622−628.
[9] Mihalcea R, Tarau P. Textrank: Bringing order into text. In: Proc. of the 2004 Conf. on Empirical Methods in Natural Language
Processing. Barcelona: ACL Press, 2004. 401−411.
[10] Li C, Wei Z, Liu Y, et al. Using relevant public posts to enhance news article summarization. In: Proc. of the 26th Int’l Conf. on
Computational Linguistics: Technical Papers (COLING 2016). 2016. 557−566.
[11] Yasunaga M, Zhang R, Meelu K, et al. Graph-based neural multi-document summarization. In: Proc. of the 21st Conf. on
Computational Natural Language Learning. Vancouver, 2017. 452−462.
[12] Yao L, Mao C, Luo Y. Graph convolutional networks for text classification. In: Proc. of the AAAI Conf. on Artificial Intelligence,
Vol.33. 2019. 7370−7377.
[13] Wan X, Yang J, Xiao J. Manifold-ranking based topic-focused multi-document summarization. In: Proc. of the Int’l Joint Conf. on
IJCAI. Morgan Kaufmann Publishers Inc., 2007. 2903−2908.
[14] Radev DR, Jing H, Styś M, et al. Centroid-based summarization of multiple documents. Information Processing & Management,
2004,40(6):919−938.
[15] Wan X, Yang J. Multi-document summarization using cluster-based link analysis. In: Proc. of the 31st Annual Int’l ACM SIGIR
Conf. on Research and Development in Information Retrieval. ACM, 2008. 299−306.
[16] Lin H, Bilmes J. Multi-document summarization via budgeted maximization of submodular functions. In: Proc. of the Human
Language Technologies: 2010 Annual Conf. of the North American Chapter of the Association for Computational Linguistics. Los
Angeles: NAACL, ACL Press, 2010. 912−920.
[17] Erkan G, Radev DR. Lexpagerank: Prestige in multi-document text summarization. In: Proc. of the 2004 Conf. on Empirical
Methods in Natural Language Processing. Barcelona: ACL Press, 2004. 365−371.

附中文参考文献:
[6] 刘娜,路莹,唐晓君,等.基于 LDA 重要主题的多文档自动摘要算法.计算机科学与探索,2015,9(2):242−248.
[7] 吴仁守,刘凯,王红玲.一种基于局部—全局主题关系的演化式摘要系统.中文信息学报,2018,32(9):75−83.

韩鹏宇(1995－),男,硕士,主要研究领域为 黄于欣(1983－),男,博士,CCF 学生会员,
自然语言处理,文本摘要. 主要研究领域为自然语言处理,文本摘要,
文本生成.

余正涛(1970－),男,博士,教授,博士生导 郭军军(1987－),男,博士,讲师,CCF 专业
师,CCF 高级会员,主要研究领域为自然语 会员,主要研究领域为自然语言处理,信息
言处理,机器翻译,信息检索. 检索,机器翻译.

高盛祥(1977－),女,博士,副教授,CCF 专
业会员,主要研究领域为自然语言处理,机
器翻译,信息检索.