Summarization of scientific documents by detecting common facts in citations

Future Generation Computer Systems

Volumn 32, Issue 1, 2014, Pages 246-252

  Chen, Jingqiang ^a,b,c   Zhuge, Hai ^a,b,c  

^a INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^b NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c ASTON UNIVERSITY   (United Kingdom)

Author keywords

Natural language processing; Semantic link network; Summarization

Indexed keywords

MULTI-DOCUMENT SUMMARIZATION; NATURAL LANGUAGE PROCESSING; SCIENTIFIC ARTICLES; SCIENTIFIC DOCUMENTS; SCIENTIFIC PAPERS; SEMANTIC LINK NETWORK; SUMMARIZATION; TERM ASSOCIATIONS;

HARDWARE; SOFTWARE ENGINEERING;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84891623584     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2013.07.018     Document Type: Article

References (33)

1. S. Wan, C. Paris, R. Dale, Whetting the appetite of scientists: producing summaries tailored to the citation context, in: JCDL2009, 2009, pp. 59-68.
2. N. Agarwal, K. Gvr, R.S. Reddy, C.P. Ros, Scisumm: a multi-document summarization system for scientific artcles, in: ACL2011, 2011, pp. 115-120.
3. S. Mohammad, B. Dorr, Using citations to generate surveys of scientific paradigms, in: NAACL2009, 2009, pp. 584-592.
4. M.T. Joseph, and D.R. Radev Citation analysis, centrality, and the acl anthology, Technical Report CSE-TR-535-07 2007 University of Michigan
5. D.R. Radev, T. Allison, S.B. Goldensohn, J. Blitzer, A. Celebi, S. Dimitrov, E. Drabek, A. Hakim, W. Lam, D. Liu, J. Otterbacher, H. Qi, H. Saggion, S. Teufel, M. Topper, A. Winkel, Z. Zhang, Mead - a platform for multi-document multilingual text summarization, in: LREC2004, Lisbon, Portugal, 2004.
6. Y. Chali, S. Matwin, S. Szpakowicz, Statistics-based summarization ł step one: sentence compression, in: AAAI1999, 1999.
7. G. Erkan, and D.R. Radev Lexrank: graph-based lexical centrality as salience in text summarization Journal of Artificial Intelligence Research 22 2004 2004 457 479 (Pubitemid 41525893)
8. K. Knight, and D. Marcu Summarization beyond sentence extraction: a probabilistic approach to sentence compression Artificial Intelligence 139 1 2002 91 107 (Pubitemid 34807822)
9. D.R. Radev, H. Jingb, M. Stys, and D. Tama Centroid-based summarization of multiple documents Information Processing & Management 40 6 2004 919 938
10. D. Shen, J. Sun, H. Li, Q. Yang, Z. Chen, Document summarization using conditional random fields, in: IJCAI2007, 2007, pp. 2862-2867.
11. T. Strzalkowski, J. Wang, B. Wise, A robust practical text summarization, in: AAAI1998, 1998.
12. X. Wan, J. Yang, J. Xiao, Manifold-ranking based topic-focused multi-document summarization, in: IJCAI2007, 2007, pp. 2903-2908.
13. W. Yih, J. Goodman, L. Vanderwende, H. Suzuki, Multi-document summarization by maximizing informative content-words, in: IJCAI2007, 2007, pp. 1776-1782.
14. H. Daume, D. Marcu, Bayesian query-focused summarization, in: ACL2006, 2006, pp. 305-312.
15. M.A. Hearst, TextTiling: segmenting text into multi-paragraph subtopic passages, in: Proceedings of LREC 2004, Lisbon, Portugal, May 2004.
16. A. Elkiss, S. Shen, and A. Fader Blind men and elephants: what do citation summaries tell us about a research article Journal of the American Society for Information Science and Technology Archive 59 1 1999 51 62
17. A. Jbara, D.R. Radev, Coherent citation-based summarization of scientific papers, in: ACL2011, 2011, pp. 500-509.
18. V. Qazvinian, D.R. Radev, Identifying non-explicit citing sentences for citation-based summarization, in: ACL2010, 2010, pp. 555-564.
19. V. Qazvinian, and D.R. Radev Scientific paper summarization using citation summary networks Proceedings of the 22nd International Conference on Computational Linguistics, Vol. 1 2008 Association for Computational Linguistics 689 696
20. V. Qazvinian, D.R. Radev, A. Ozgur, Citation summarization through keyphrase extraction, in: COLING2010, 2010, pp. 895-903.
21. S. Teufel Summarizing scientific articles: experiments with relevance and rhetorical status Computational Linguistics 28 4 2002 409 445
22. S. Teufel, A. Siddharthan, D. Tidhar, Automatic classification of citation function, in: EMNLP2006, 2006, pp. 103-110.
23. H. Nanba, M. Okumura, Towards multi-paper summarization using reference information, in: IJCAI1999, 1999, pp. 926-931.
24. H. Zhuge Semantic linking through spaces for cyber-physical-socio intelligence: a methodology Artificial Intelligence 175 2011 988 1019
25. H. Zhuge, and Y. Xing Probabilistic resource space model for managing resources in cyber-physical society IEEE Transactions on Services Computing 5 3 2012 404 421
26. B. Xu, H. Zhuge, A text scanning mechanism simulating human reading process, in: IJCAI 2013.
27. C. Lin, E. Hovy, The automated acquisition of topic signatures for text summarization, in: COLING2000, 2000, pp. 495-501.
28. V. Nastase, Topic-driven multi-document summarization with encyclopedic knowledge and spreading activation, in: EMNLP2008, 2008, pp. 763-772.
29. J. Han, and M. Kamber Data mining: Concepts and Techniques second ed. 2006 Elsevier Science & Technology San Francisco
30. F. Beil, M. Ester, X. Xu, Frequent-term based text clustering, in: SIGKDD2002, 2002, pp. 436-442.
31. J. Carbonell, J. Goldstein, The use of mmr, diversity-based re-ranking for reordering documents and producing summaries, in: SIGIR1998, 1998, pp. 335-336.
32. H. Zhuge The Knowledge Grid first ed. 2004 World Scientific Publishing Co. 2012, second ed
33. H. Zhuge The Web Resource Space Model 2008 Springer