Computer Science ›› 2013, Vol. 40 ›› Issue (5): 201-205.
Previous Articles Next Articles
GAO Jing and FANG Jun
[1] Yu P S,Tsotras V J,Fox E A.et al.A system for query-specific document summarization[C]∥Proceedings of the 2006International Conference on Information and Knowledge Management.New York:ACM Press,2006:622-631 [2] Erkan G,Radev D.LexRank:prestige in multi-document textsummarization[C]∥Proceedings of the 2004Conference on Empirical Methods in Natural Language Processing.Morristown,NJ:ACM Press,2004:365-371 [3] Carbonell J,Goldstein J.The Use of MMR,Diversity-BasedReranking for Reordering Documents and Producing Summaries[C]∥Proceedings of the 21st ACM-SIGIR International Conferen-ce on Research and Development in Information Retrieval.New York,NY:ACM Press,1998:335-336 [4] Radev D.A common theory of information fusion from multiple text sources,step one:Cross-document structure[C]∥Procee-dings of the 1st ACL SIGDIAL Workshop on Discourse and Dialogue.Morristown,NJ:ACL,2000:74-83 [5] Zhai C X,Cohen W W,Lafferty J.Beyond independent rele-vance:Methods and evaluation metrics for subtopic retrieval[C]∥Proceedings of the 26th annual international ACM SIGIR conference on Research and development in information retrieval.New York,NY:ACM Press,2003:10-17 [6] Zhang B Z,Li H,Liu Y,et al.Improving web search results using affinity graph[C]∥Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.New York,NY:ACM Press,2005:504-511 [7] Zhang J,Xu H B,Cheng X Q.GSPSummary:A Graph-basedSub-topic Partition Algorithm for Summarization[C]∥Procee-dings of 2008Asia Information Retrieval Symposium.AIRS,2008:321-334 [8] Zhu X J,Goldberg A,Gael J V.et al.Improving diversity in ranking using absorbing random walks:Human Language Technologies[C]∥The Annual Conference of the North American Chapter of the Association for Computational Linguistics.Roche-ster,NY,NAACL-HLT,2007 [9] Lin C Y,Hovy E H.From Single to Multi-document Summarization:A Prototype System and its Evaluation[C]∥Proceedings of the 40th Annual Meeting of the Association for ComputationalLinguistics.Morristown,NJ:Association for Computational Linguistics,2002:25-34 [10] Harabagiu S,Lacatusu F.Topic themes for multi-documentsummarization[C]∥Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval.New York,NY:ACM Press,2005:202-209 [11] Saggion H,Bontcheva K,Cunningham H.Robust generic andquery-based summarization[C]∥Proceedings of 10th Confe-rence of the European Chapter of the Association for Computational Linguistics.Morristown,NJ:ACL,2003:235-238 [12] Conroy J M,Schlesinger J D.CLASSY query-based multi-document summarization[C]∥Proceedings of Document Understanding Conference.Vancouver,Canada,2005 [13] Page L,Brin S,Motwani R,et al.The PageRank Citation Ran-king:Bringing Order to the Web [R].Stanford,California:Stanford University Database Group,1998 [14] Motwani R,Raghavan P.Randomized algorithms[M].Cam-bridge Press,1996,8:33-37 [15] Haveliwala T.Efficient computation of pagerank[R].Stanford,California:Database Group,Computer Science Department,Stanford University,1999 |
No related articles found! |
|