Abstract
Popularity of the Internet has contributed towards the explosive growth of the information available to users for day to day usage, and people are faced with information overload problems because of the spread of the information across various kinds of sources – documents, web pages, mails, faxes, manuals, reports, books, etc. In this paper, we present a text summarization system that models the real-world application in which the user would be interested in learning about a sequence of events. Also, we focus on some evaluation procedures.
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References
McKeown, K., Barzilay, R., Chen, J., Elson, D., Evans, D., Klavans, J., Nenkova, A., Schiffman, B., Sigelman, S.: Columbia’s newsblaster: New features and future directions (demo). In: Proceedings of NAACL-HLT 2003, Edmonton, Canada (2003)
Radev, D.R., Blair-Goldensohn, S., Zhang, Z., Sundara Raghavan, R.: Newsinessence: A system for domain-independent, real-time news clustering and multi-document summarization. In: Demo Presentation, Human Language Technology Conference, San Diego, CA (2001)
Waibel, A., Bett, M., Finke, M., Stiefelhagen, R.: Meeting browser:tracking and summarization meetings. In: Proceedings of the 1998 DARPA Broadcast News Workshop, Lansdowne, Virginia (1998)
McKeown, K.R., Jordan, D.A., Hatzivassiloglou, V.: Generating patient-specific summaries of online literature. In: AAAI 1998 Spring Symposium on Intelligent Text Summarization, Stanford University, pp. 34–43 (1998)
Hirst, G., DiMarco, C., Hovy, E., Parsons, K.: Authoring and generating health-education documents that are tailored to the needs of the individual patient. In: Proceedings of the Sixth International Conference on User Modeling, Sardinia Italy, pp. 107–118 (1997)
Maybury, M., Merlino, A.: Multimedia summaries of broadcast news. In: Maybury, M. (ed.) Multimedia Information Retrieval (1997)
Rohall, S.L., Gruen, D., Moody, P., Wattenberg, M., Stern, M., Kerr, B., Stachel, B., Dave, K., Armes, R., Wilcox, E.: Remail: a reinvented email prototype. In: Extended abstracts of the 2004 conference on Human factors and computing systems, pp. 791–792. ACM Press, New York (2004)
Rambow, O., Shrestha, L., Chen, J., Lauridsen, C.: Summarizing email threads. In: Proceedings of HLT-NAACL 2004: Short Papers, Boston, MA (2004)
Sparck-Jones, K.: Automatic summarizing: Factors and directions. In: Mani, Maybury (eds.) Advances in Automatic Text Summarization. MIT press, Cambridge (1999)
Choi, F.Y.Y.: Advances in domain independent linear text segmentation. In: Proceedings of the 1st North American Chapter of the Association for Computational Linguistics, Seattle, Washington, pp. 26–33 (2000)
Reynar, J.: Topic Segmentation: Algorithms and applications. PhD thesis, Computer and Information Science, University of Pennsylvania (1998)
Chali, Y., Noureddine, S.: Document clustering with grouping and chaining algorithms. In: Dale, R., Wong, K.-F., Su, J., Kwong, O.Y. (eds.) IJCNLP 2005. LNCS (LNAI), vol. 3651, pp. 280–291. Springer, Heidelberg (2005)
Chali, Y.: Topic detection of unrestricted texts: Approaches and evaluations. Journal of Applied Artificial Intelligence 19(2), 119–136 (2005)
Salton, G., Buckley, C.: Term weighting approaches in automatic text retrieval. Technical report, Ithaca, NY, USA (1987)
Lin, C.Y.: ROUGE: A package for automatic evaluation of summaries. In: Proceedings of the Workshop on Text Summarization Branches Out, Barcelona, Spain, pp. 74–81 (2004)
Nenkova, A., Passonneau, R.: Evaluating content selection in summarization: the Pyramid method. In: Proceedings of the Human Language Technology Research Conference/North American Chapter of the Association of COmputation Linguistics, Boston, MA, pp. 145–152 (2004)
DUC (ed.): Document Understanding Conference. NIST (2005)
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Chali, Y. (2006). Summarizing Documents in Context: Modeling the User’s Information Need. In: Salakoski, T., Ginter, F., Pyysalo, S., Pahikkala, T. (eds) Advances in Natural Language Processing. FinTAL 2006. Lecture Notes in Computer Science(), vol 4139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816508_62
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DOI: https://doi.org/10.1007/11816508_62
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37334-6
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