[1]NALLAPATI R,ZHOU B,SANTOS C N D,et al.Abstractive text summarization using sequence-to-sequence RNNs and beyond[C]//Proceedings of CoNLL’16.Washington D.C.,USA:IEEE Press,2016:125-136./br [2]王萌,何婷婷,姬东鸿,等.基于HowNet概念获取的中文自动文摘系统[J].中文信息学报,2005,19(3):87-93./br [3]MILLER G A.WordNet:a lexical database for English[J].Communications of the ACM,1995,38(11):39-41./br [4]MIHALCEA R,TARAU P.TextRank:bringing order into texts[EB/OL].[2018-01-21].http://www.aclweb.org/./br [5]李宝程.基于浅层语义分析的文本摘要方法研究与实现[D].成都:电子科技大学,2016./br [6]吴晓锋,宗成庆.一种基于LDA的CRF自动文摘方法[J].中文信息学报,2009,23(6):39-45./br [7]罗森林,白建敏,潘丽敏,等.融合句义特征的多文档自动摘要算法研究[J].北京理工大学学报,2016,36(10):1059-1064./br [8]BANARESCU L,BONIAL C,CAI S,et al.Abstract meaning representation for sembanking[C]//Proceedings of Linguistic Annotation Workshop on Interoperability with Discourse.Washington D.C.,USA:IEEE Press,2013:178-186./br [9]LIU F,FLANIGN J,THOMSO S,et al.Toward abstractive summarization using semantic representations[C]//Proceedings of Conference of the North American Chapter of the Association for Computational Linguistics:Human Language Technologies.Washington D.C.,USA:IEEE Press,2015:1077-1086./br [10]HERMANN K M,KOCISKY T.Teaching machines to read and comprehend[C]//Proceedings of International Conference on Neural Information Processing Systems.[S.1.]:MIT Press,2015:1693-1701./br [11]曲维光,周俊生,吴晓东,等.自然语言句子抽象语义表示AMR研究综述[J].数据采集与处理,2017,32(1):26-36./br [12]李斌,闻媛,宋丽,等.融合概念对齐信息的中文AMR语料库的构建[J].中文信息学报,2017,31(6):93-102./br [13]SONG L,PENG X,ZHANG Y,et al.AMR-to-text generation with synchronous node replacement Grammar[EB/OL].[2018-01-21].http://www.aclweb.org./br [14]KONSTAS I,IYER S,YATSKAR M,et al.Neural AMR:sequence-to-sequence models for parsing and generation[EB/OL].[2018-01-21]. http://www.ikonstas.net./br [15]杜秀英.基于聚类与语义相似分析的多文本自动摘要方法[J].情报杂志,2017,36(6):167-172./br [16]宁可,孙同晶,徐洁洁.面向海量数据的改进最近邻优先吸收聚类算法[J].计算机工程,2018,44(4):35-40./br [17]GOLDSTEIN J,MITTAL V,CARBONELL J,et al.Multi-document summarization by sentence extraction [C]//Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization Association for Computational Linguistics.Washington D.C.,USA:IEEE Press,2000:40-48./br [18]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./br [19]刘寒磊,关毅,徐永东.多文档文摘中基于语义相似度的最大边缘相关技术研究[C]//全国计算语言学联合学术会议论文集.南京:[出版社不详],2005./br [20]TAN J,WAN X,XIAO J.Abstractive document summarization with a graph-based attentional neural model[C]//Proceedings of the 55th Annual Meeting of the Association for Com-putational Linguistics.Washington D.C.,USA:IEEE Press,2017:1171-1181./br [21]SEE A,LIU P J,MANNING C D.Get to the point:summarization with pointer-generator networks[EB/OL].[2018-01-21].http://www.aclweb.org/./br [22]FLICK C.ROUGE:a package for automatic evaluation of summaries[C]//Proceedings of IEEE Workshop on Text Summarization Branches Out.Washington D.C.,USA:IEEE Press,2004:10./br [23]CAI S,KNIGHT K.Smatch:an evaluation metric for semantic feature structures[C]//Proceedings of IEEE Meeting of the Association for Computational Linguistics.Washington D.C.,USA:IEEE Press,2012:748-752./br |