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EXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 3، دوره 7، شماره 3، دی 2010، صفحه 15-32 اصل مقاله (757.44 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2010.185 | ||
| نویسندگان | ||
| Farshad Kyoomarsi1؛ Hamid Khosravi2؛ Esfandiar Eslami3؛ Mohsen Davoudi* 4 | ||
| 1Islamic Azad University of Shahrekord branch, Shahrekord, Iran | ||
| 2Shahid Bahonar University of Kerman, International Center for Science and High Technology and Environmental Sciences, Kerman, Iran | ||
| 3Shahid Bahonar University of Kerman, The centre of Excellence for Fuzzy system and applications, Kerman, Iran | ||
| 4Department of Energy, Electrical Engineering division, Politecnico di Milano, Milan, Italy | ||
| چکیده | ||
| Due to the explosive growth of the world-wide web, automatic text summarization has become an essential tool for web users. In this paper we present a novel approach for creating text summaries. Using fuzzy logic and word-net, our model extracts the most relevant sentences from an original document. The approach utilizes fuzzy measures and inference on the extracted textual information from the document to find the most significant sentences. Experimental results reveal that the proposed approach extracts the most relevant sentences when compared to other commercially available text summarizers. Text pre-processing based on word-net and fuzzy analysis is the main part of our work. | ||
| کلیدواژه‌ها | ||
| Extraction؛ Fuzzy logic؛ Text summarization؛ Word-net | ||
| مراجع | ||
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[1] P. B. Baxendale, Machine made index for technical literature: an experiment, IBM Journal of Research and Development, 2(4) (1958), 354-361. [2] R. Brandow, K. Mitlze and L. Rau, Automatic condensation of electronic Publication by sentence election, Information Processing and Management, 31(5) (1995), 675-685. [3] J. J. Buckley, K. D. Reilly and L. J. Jowers, Simulating continuous fuzzy systems: I, Iranian Journal of Fuzzy Systems, 2(1) (2005), 1-18. [4] W. T. Chuang and J. Yang, Extracting sentences segments for text summarization: a machine learning approaches, Proceedings of the 23th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Athens, Greece, (2000), 125-159. [5] N. Elhadad, User-sensitive text summarization thesis summary, Thesis Summary, American Association for Artificial Intelligence, USA, 2004. [6] Y. Gong and X. Liu, Creating generic text summaries, IEEE, 0-7695-1263-1/01, (2001), 391- 407. [7] K. Kaikhah, Automatic text summarization with NNs, Second IEEE International Conference on Intelligent Systems, June (2004), 40-44. [8] A. Kiani-B, M. R. Akbarzadeh-T and M. H. Moeinzadeh, Intelligent extractive text summarization using fuzzy inference systems, 1-4244-0457-6/06, IEEE, (2001), 1-4. [9] J. Kupiec, J. Pederson and F. Chen, A trainable document summarizer, Proceedings of the 18th Annual international ACM SIGIR Confluence on Research and Development in Information Retrieval, Seattle, Washington, (1995), 68-73. [10] J. Leskovec, M. Grobelnik and N. Milic-Frayling, Learning semantic graph mapping for document summarization, Proceedings of ECML/PKDD-2004 Workshop on Knowledge Discovery and Ontologies, KDO-2004, Pisa, Italy. [11] C. Y. Lin, ROUGE: a package for automatic evaluation of summaries, Proceedings of Workshop on Text Summarization Branches Out, Post-conference Workshop of ACL, Spain, 2004. [12] C. Y. Lin and E. Hovy, Automatic evaluation of summaries using n-gram co-occurrence statistics, Proceedings of the Human Technology conference (HLT-NAACL-2003), Canada, (2003), 71-78. [13] C. Y. Lin and E. H. Hovy, Automatic evaluation of summaries using n-gram co-occurrence statistics, Proceedings of Language Technology Conference (HLT-NAACL 2003), Edmonton, Canada, (2003), 287-292. [14] I. Mani, Advances in automatic summarization, John Benjamins Publishing Company, (2001), 129-165. [15] E. G. Mansoori, M. J. Zolghadri and S. D. Katebi, Using distribution of data to enhance performance of fuzzy classification systems, Iranian Journal of Fuzzy Systems, 4(1) (2007), 22-36. [16] G. A. Miller, R. Beckwith, C. Fellbaum, D. Gross, and K. Miller, Five papers on wordnet, Technical Report, Princeton University, (1993), 3-12. [17] T. Nomoto and Y. Matsumoto, A new approach to unsupervised text summarization, SIGIR, ACM, New Orleans, Louisiana, USA, (2001), 26-34. [18] P. Over and J. Yen, An introduction to duc 2003 - intrinsic evaluation of generic news text summarization systems, http:// wwwnlpir.nist.gov/ projects/ duc/ pubs/ 2003slides/ duc2003intro.pdf, 2003. [19] K. Papineni, S. Roukos, T. Ward and W. J. Zhu, BLEU: A method for automatic evaluation of machine translation, IBM Research Report RC22176 (W0109-022), 2001. [20] H. Saggion, D. Radev, S. Teufel and W. Lam, Meta-evaluation of summaries in a crosslingual environment using content-based metrics, Proceedings of COLING, Taipei, Taiwan, 2002. [21] A. K. Shaymal and M. Pal, Triangular fuzzy matrices, Iranian Journal of Fuzzy Systems, 4(1) (2007), 75-87. [22] L. X. Wang, A cource in fuzzy system and control, Prentice Hall, Englewood Cliffs, Nj. ISBN-13: 978-01354088271998. [23] C. C. Yang and F. L. Wang, Fractal summarization: summarization based on fractal theory, SIGIR, ACM 1-58113-646, Toronto, CA, (2003), 391-392. [24] C. C. Yang and F. L. Wang, Hierarchical summarization of large documents, Journal of the American Society for Information Science and Technology, 59(6) (2008), 887-902. [25] L. A. Zadeh, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, Elsevier, Holland, (1999), 9-34. | ||
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