[1] Mihalcea R, Tarau P. TextRank: bringing order into texts[C]//Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA: ACL, 2004: 404-411. [2] 荀静, 杨玉珍. 基于TextRank的文本情感摘要提取方法[J]. 计算机应用与软件, 2018, 35(10): 80-84. Gou J, Yang Y Z. Text emotion summarization extraction based on TextRank[J]. Computer Applications and Software, 2018, 35(10): 80-84. (in Chinese) [3] 黄波, 刘传才. 基于加权TextRank的中文自动文本摘要[J]. 计算机应用研究, 2020, 37(2): 407-410. Huang B, Liu C C. Chinese automatic text summarization based on weighted TextRank[J]. Application Research of Computers, 2020, 37(2): 407-410. (in Chinese) [4] Chakrabarti D, Punera K. Event summarization using tweets[C]//Proceedings of the 5th International AAAI Conference on Weblogs and Social Media, Barcelona, Catalonia, Spain, 2011: 66-73. [5] Dohare S, Gupta V, Karnick H, et al. Unsupervised semantic abstractive summarization[C]//Proceedings of ACL 2018, Student Research Workshop, Melbourne, Australia, 2018: 74-83. [6] Gillick D, Favre B. A scalable global model for summarization[C]//Proceedings of the Workshop on Integer Linear Programming for Natural Language Processing, 2009: 10-18. [7] Kgebck M, Mogren O, Tahmasebi N, et al. Extractive summarization using continuous vector space models[C]//Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality (CVSC), Gothenburg, Sweden, 2014: 31-39. [8] Lin C Y. Training a selection function for extraction[C]//Proceedings of the 8th International Conference on Information and Knowledge Management, Edinburgh, United Kingdom, 1999: 55-62. [9] Conroy J M, O’leary D P. Text summarization via hidden Markov models[C]//Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New Orleans, Louisiana, USA, 2001: 406-407. [10] Galley M. A skip-chain conditional random field for ranking meeting utterances by importance[C]//Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, Stroudsburg, PA, United States, 2006: 364-372. [11] Zhang J, Fung P. Speech summarization without lexical features for Mandarin broad-cast news[C]//Human Language Technologies 2007: the Conference of the North American Chapter of the Association for Computational Linguistics, Stroudsburg, PA, United States, 2007: 213-216. [12] 张剑, 袁华强. Rhetorical-state SVM在抽取式语音摘要中的应用[J]. 科学技术与工程, 2013, 13(21): 6299-6301, 6305. Zhang J, Yuan H Q. Rhetorical-state SVM for extractive speech summarization[J]. Science Technology and Engineering, 2013, 13(21): 6299-6301, 6305. (in Chinese) [13] 孟令阁, 马建芬, 张雪英. 基于主题的SVM与MMR融合的会议摘要技术[J]. 计算机工程与设计, 2016, 37(10): 2695-2699. Meng L G, Ma J F, Zhang X Y. Meeting summarization technology confused with SVM and MMR based on theme[J]. Computer Engineering and Design, 2016, 37(10): 2695-2699. [14] Cao Z, Wei F, Li S, et al. Learning summary prior representation for extractive summarization[C]//Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Beijing, China, 2015: 829-833. [15] Nallapati R, Zhai F, Zhou B. SummaRuNNer: a recurrent neural network based sequence model for extractive summarization of documents[C]//Proceedings of the 31st AAAI Conference on Artificial Intelligence. Menlo Park, CA: AAAI, 2017: 3075-3081. [16] He R, Lee W S, Ng H T, et al. An unsupervised neural attention model for aspect extraction[C]//Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, Vancouver, Canada, 2017: 388-397. [17] 余珊珊, 苏锦钿, 李鹏飞. 基于改进的TextRank的自动摘要提取方法[J]. 计算机科学, 2016, 43(6): 240-247. Yu S S, Su J D, Li P F. Improved TextRank-based method for automatic summarization[J]. Computer Science, 2016, 43(6): 240-247. (in Chinese) [18] 第一财经——汽车[EB/OL].[2020-10-26]. https://www.yicai.com/news/automobile/. [19] 徐馨韬, 柴小丽, 谢彬, 等. 基于改进TextRank算法的中文文本摘要提取[J]. 计算机工程, 2019, 45(3): 273-277. Xu X T, Chai X L, Xie B, et al. Extraction of Chinese text summarization based on improved TextRank algorithm[J]. Computer Engineering, 2019, 45(3): 273-277. (in Chinese) |