Hierarchical summarization of large documents

Journal of the American Society for Information Science and Technology

Volumn 59, Issue 6, 2008, Pages 887-902

  Yang, Christopher C ^a   Wang, Fu Lee ^b  

^a Drexel University   (United States)

^b CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TEXT SUMMARIZATION; HUMAN ABSTRACTORS BEHAVIOR;

ABSTRACTING; FRACTALS; INFORMATION SCIENCE; MATHEMATICAL MODELS;

HIERARCHICAL SYSTEMS;

EID: 42249111066     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.20781     Document Type: Article

References (47)

1. Aminin, M., & Gallinari, P. (2002). The use of unlabeled data to improve supervised learning for text summarization, In Proceedings of the 25th annual International ACM Conference on Research and Development in Information Retrieval (SIGIR'02) (pp. 105-112). New York: ACM Press.
2. Baxendale, P.B. (1958). Machine-made index for technical literature-An experiment. IBM Journal of Research and Development, 2(4), 354-361.
3. Black, P.E., (2006). Manhattan distance, in Dictionary of Algorithms and Data Structures, Paul E. Black, ed., Gaithersburg, MS: U.S. National Institute of Standards and Technology. 31 May 2006. (Last accessed 17 January 2008) Available from: http://www.nist.gov/dads/HTML/manhattanDistance.html
4. Carletta, J., Isard, A., Isard, S., Jowtko, J.C., Doherty-Sneddon, G., & Anderson, A.H. (1997). The reliability of a dialogue structure coding scheme. Computational Linguistics, 23(1), 13-32.
5. Cormen, T.H., Leiserson, C.E., & Rivest, R.L. (1989). Introduction to algorithms. Cambridge, MA: MIT Press.
6. Edmundson, H.P. (1969). New methods in automatic extraction. Journal of the ACM, 16(2), 264-285.
7. Endres-Niggemeyer, B. (2002). SimSum: An empirically founded simulation of summarizing. Information Processing and Management, 36(4), 659-682.
8. Endres-Niggemeyer, B., Maier, E., & Sigel, A. (1995). How to implement a naturalistic model of abstracting: Four core working steps of an expert abstractor. Information Processing and Management, 31(5), 631-674.
9. Feder, J. (1988). Fractals. New York: Plenum Press.
10. Glaser, B.G., & Strauss, A.L. (1967). The discovery of grounded theory: Strategies for qualitative research. New York: deGruyter.
11. Goldstein, J., Kantrowitz, M., Mittal, V., & Carbonell, J. (1999). Summarizing text documents: Sentence selection and evaluation metrics. In Proceedings of the 22nd annual International ACM Conference on Research and Development in Information Retrieval (SIGIR'99) (pp. 121-128). New York: ACM Press.
12. Hearst, M.A. (1993). Subtopic structuring for full-length document access. In Proceedings of the 16th annual International ACM Conference on Research and Development in Information Retrieval (SIGIR'93) (pp. 56-68). New York: ACM Press.
13. Ito, K. (1987). Turing machines. Encyclopedic dictionary of mathematics (2nd ed., Vol. 1, pp. 136-137). Cambridge, MA: MIT Press.
14. Jacquin., A.E. (1993). Fractal image coding: A review. Proceedings of the IEEE, 81(10), 1451-1465.
15. Jing, H., Barzilay, R., McKeown, K., & Elhadad, M. (1998). Summarization evaluation methods: Experiments and analysis. In Proceedings of the AAAI Spring Symposium on Intelligent Text Summarization (pp. 60-68). Menlo Park, CA: AAAI.
16. Koike, H. (1995). Fractal views: A fractal-based method for controlling information display. ACM Transaction on Information Systems, 13(3), 305-323.
17. Kupiec, J., Pedersen, J., & Chen, F. (1995). A trainable document summarizer. In Proceedings of the 18th annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'95) (pp. 68-73). New York: ACM Press.
18. Lam-Adesina, M., & Jones, G.J.F. (2001). Applying summarization techniques for term selection in relevance feedback. In Proceeding of the 24th annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'01) (pp. 1-9). New York: ACM Press.
19. Lin, C.Y., & Hovy, E.H. (1997). Identifying topics by position. In Proceedings of the Applied Natural Language Processing Conference (ANLP-97) (pp. 283-290). San Francisco: Kaufmann.
20. Luhn, H.P. (1958). The automatic creation of literature abstracts. IBM Journal of Research and Development, 2(2), 159-165.
21. Mandelbrot, B. (1983). The fractal geometry of nature. New York: Freeman.
22. Mani, I., House, D., Klein, G., Hirschman, L., Firmin, T., & Sundheim, B. (1999). The TIPSTER SUMMAC Text Summarization Evaluation. In Proceedings of the 9th Conference of the European Chapter of the Association for Computation Linguistics (EACL-1999) (pp. 77-85). Morristown, NJ: ACL.
23. Marcu, D., (1997). From discourse structures to text summaries. In Proceedings of the Workshop on Intelligent Scalable Text Summarization (82-88). Morristown, NJ: ACL.
24. Marcu, D. (1999). Discourse trees are good indicators of importance in text. In I. Mani & M. Maybury (Eds.), Advances in automatic text summarization (pp. 123-136). Cambridge, MA: MIT Press.
25. Miike, S., Itoh, E., Ono, K., & Sumita, K., (1994). A full-text retrieval system with a dynamic abstract generation function. In Proceedings of the 17th annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'94) (pp. 152-161), New York: Springer-Verlag.
26. Mitra, M., Singhal, A., & Buckley, C. (1997) Automatic text summarization by paragraph extraction. In Proceedings of ACL/EACL-97 Workshop on Intelligent Scalable Text Summarization (pp. 31-36). Morristown, NJ: ACL.
27. Morris, G., Kasper, G.M., & Adams, D.A. (1992). The effect and limitation of automated text condensing on reading comprehension performance. Information System Research, 3(1), 17-35.
28. Nobata C., Sekine S., Uchimoto K., Isahara H. (2003). A summarization system with categorization of document sets. In Proceedings of the Third Proceedings of the Third NTCIR Workshop on research in information Retrieval, Automatic Text Summarization and Question Answering (pp. 33-38). Tokyo: National Institute of Informatics.
29. Nomoto, T., & Matsumoto, Y. (2001). A new approach to unsupervised text summarization. In Proceedings of the 24th annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2001) (pp. 26-34). New York: ACM Press.
30. Ono, K., Sumita, K., & Miike S. (1994). Abstract generation based on rhetorical structure extraction. In Proceedings of the 15th Conference on Computational linguistics (COLING' 94) (pp 344-348). Morristown, NJ: ACL.
31. Radev, D.R., Jing, H., Stys, M., & Tam, D. (2004). Centroid-based summarization of multiple documents. Information Processing and Management, 40, 919-938.
32. Radev, D.R., & McKeown, K.R. (1998). Generating natural language summaries from multiple online sources. Computational Linguistics, 24(3), 469-500.
33. Rijsbergen, C.J. van. (1979). Information retrieval. London: Butterworths.
34. Salton, G., Allan, J., Buckley, C., & Singhal, A. (1994). Automatic analysis, theme generation, and summarization of machine-readable texts. Science, 264, 1422-1426.
35. Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information Processing and Management, 24(5), 513-523.
36. Salton, G., Singhal, A., Buckley, C., & Mitra, M. (1996). Automatic text decomposition using text segments and text themes. In Proceedings of the 7th ACM Conference on Hypertext (Hypertext'96) (pp. 53-65). New York: ACM Press.
37. Salton, G., Singhal, A., Mitra, M., & Buckley, C. (1999). Automatic text structuring and summarization. In I. Mani & M. Maybury (Eds.), Advances in automatic text summarization (pp. 241-255). Cambridge, MA: MIT Press.
38. Strzalkowski, T., Wang, J., & Wise, B. (1998). A robust practical text summarization. In Proceedings of the AAAI Spring Symposium on Intelligent Text Summarization (pp. 26-33). Menlo Park, CA: AAAI.
39. Teufel, S., & Moens, M. ( 1997). Sentence extraction as a classification task. In Proceedings of the Workshop of Intelligent and Scalable Text summarization (pp. 56-68). Morristown, NJ: ACL.
40. Teufel, S., & Moens, M. (1998). Sentence extraction and rhetorical classification for flexible abstracts. In Proceedings of the AAAI Spring Symposium on Intelligent Text Summarization (pp. 89-97). Menlo Park, CA: AAAI.
41. Voorhees, E.M., (1998). Variations in relevance judgments and the measurement of retrieval effectiveness. In Proceedings of the 21st annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-98) (pp. 315-323), New York: ACM Press.
42. Voorhees, E.M., & Harman, D. (1997). Overview of the 5th Text REtrieval conference (TREC-5). In D. Harman (Ed.), TREC-5, Proceedings of the Fourth Text Retrieval Conference (pp. 1-28). Washington, DC: Government Printing Office.
43. Wang, F.L., (2003). Fractal Summarization, August 2003, Ph.D. Thesis, Hong Kong: Chinese University of Hong Kong.
44. Wang, FL., & Yang, C.C., (2003). Automatic summarization of Chinese and English parallel documents, International Conference of Asian Digital Libraries (ICADL 2003), Kuala Lumpur, Malaysia, Lecture Notes in Computer Science, 2911, 46-61.
45. Wang, F.L., Yang, C.C., & Shi, X. (2006). Multi-document summarization for terrorism information extraction. IEEE Intelligence and Security Informatics Conference (ISI 2006), San Diego, CA. Lecture Notes in Computer Science, 3975, 602-608.
46. Weiss, M.A. (1997). Data structures and algorithm analysis in C. Reading, MA: Addison-Wesley.
47. Yang, C.C., Chen, H., & Hong, K. (2003). Visualization of large category map for Internet browsing. Decision Support Systems, 35(1), 89-102.