Automatic multidocument summarization of research abstracts: Design and user evaluation

Journal of the American Society for Information Science and Technology

Volumn 58, Issue 10, 2007, Pages 1419-1435

  Ou, Shiyan ^a   Khoo, Christopher S G ^a   Goh, Dion H ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC PROGRAMMING; ENGINEERING RESEARCH; FEATURE EXTRACTION; QUERY LANGUAGES; USER INTERFACES; WORLD WIDE WEB;

AUTOMATIC MULTIDOCUMENT SUMMARIZATION; RESEARCH ABSTRACTS; USER EVALUATION; USER QUERIES;

ABSTRACTING;

EID: 34547609251     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.20618     Document Type: Article

References (34)

1. Afantenos, S., Doura, I., Kapellou, E., & Karkaletsis, V. (2004). Exploiting cross-document relations for multi-document evolving summarization. In G.A. Vouros & T. Panayiotopoulos (Eds.), Methods and applications of artificial intelligence. Lecturer Notes in Computer Science: Proceedings of the 3rd Helenic Conference on Artificial Intelligence (Vol. 3025, pp. 410-419). Berlin: Springer-Verlag.
2. Afatmenos, S., Karkaletsis, V., & Stamatopoulos, P. (2005). Summarization from medical documents: A survey. Journal of Artificial Intelligence in Medicine, 33(2), 157-177.
3. Baron, R.M., & Kenny, D.A. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.
4. Bergler, S., Witte, R., Li, Z., Khalife, M., Chen, Y., Doandes, M., & Andreevskaia, A. (2004). Multi-ERSS and ERSS 2004. In Proceedings of the Document Understanding Conference 2004. Retrieved April 10, 2005, from http.//www-nlpir.nist.gov/projects/duc/pubs.html
5. Brunn, M., Chali, Y., & Dufour, B. (2002). The University of Lethbridge text summarizer at DUC 2002. In Proceedings of the Document Understanding Conference 2002. Retrieved April 10, 2005, from http://wwwnlpir.nist.gov/projects/duc/pubs.html
6. Carbonell, J.G., & Goldstein, J. (1998). The use of MMR, diversity-based reranking for reordering documents and producing summaries. In Proceedings of the 21st annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 335-336). New York: ACM Press.
7. Chali, Y., & Kolla, M. (2004). Summarization techniques in DUC 2004. In Proceedings of the Document Understanding Conference 2004. Retrieved July 10, 2005, from http://www-nlpir.nist.gov/projects/duc/pubs.html
8. Document Understanding Conference (DUC). (2002). Retrieved April 24, 2005, from http://www-nlpir.nist.gov/projects/duc/index.html
9. Edmundson, H.P. (1969). New methods in automatic extracting. Journal of the ACM, 16(2), 264-285.
10. Goldstein, J., Kantrowitz, M., Mittal, V., & Carbonell, J. (1999). Summarizing text documents: Sentence selection and evaluation metrics. In Proceedings of the 22nd ACM SIGIR International Conference on Research and Development in Information Retrieval (pp. 121-128). New York: ACM Press.
11. Harabagiu, M.S., & Lacatusu, F. (2002). Generating single and multi-document summaries with GISTEXER. In Proceedings of the Document Understanding Conference 2002. Retrieved April 20, 2005, from http:// www-nlpir.nist.gov/projects/duc/pubs.html
12. Hardy, H., Shimizu, N., Strzalkowski, T., Ting, L., Wise, G., & Zhang, X. (2002). Cross-document summarization by concept classification. In Proceedings of the 25th annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 121-128). New York: ACM Press.
13. Jones, K.S., & Galliers, J.R. (1996). Evaluating natural language processing systems: An analysis and review. Lecturer notes in computer science. (Vol. 1083). Berlin: Springer-Verlag.
14. Kupiec, J., Pedersen, J., & Chen, F. (1995). A trainable document summarizer. In E.A. Fox, P. Ingwersen, & R. Fidel (Eds.), SIGIR-95: Proceedings of the 18th annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 68-73). New York: ACM Press.
15. Macionis, J.J. (2000). Sociology (8th ed.). Upper Saddle River, NJ: Prentice Hall.
16. Mani, I., & Bloedorn, E. (1999). Summarizing similarities and differences among related documents. Information Retrieval, 1(1-2), 35-67.
17. Mani, I., & Maybury, M.T. (Eds.). (1999). Advances in automatic text summarization. Cambridge, MA: MIT Press.
18. McKeown, K., & Radev, D. (1995). Generating summaries of multiple news articles. In Proceedings of the 18th annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 74-82). New York: ACM Press.
19. McKeown, K.R., Klavans, J.L., Hatzivassiloglou, V., Barzilay, R., & Eskin, E. (1999). Towards multidocument summarization by reformulation: Progress and prospects. In R. Dechter, M. Kearns, & R. Sutton (Eds.), Proceedings of the 16th National Conference on Artificial Intelligence (pp. 453-460). Menlo Park, CA: American Association for Artificial Intelligence.
20. Minei, J.-L., Nugier, S., & Piat, G. (1997). How to appreciate the quality of automatic text summarization? Examples of FAN and MLUCE protocols and their results on SERAPHIN. In I. Mani & M.T. Maybury (Eds.), Proceedings of the ACL/EACL-97 Workshop on Intelligent Scalable Text Summarization (pp. 25-33). Morristown, NJ: Association for Computational Linguistics.
21. Moxley, J.M. (2001). Universities should require electronic theses and dissertations. Educause Quarterly, 3, 61-63.
22. Ou, S., Khoo, C.S.G., & Goh, H.L. (2002). A hierarchical framework for multi-document summarization of dissertation abstracts. In E.-P. Lim, S. Foo, C. Khoo, H. Chen, E. Fox, S. Urs, & T. Costantino (Eds.), Digital libraries: People, Knowledge, and technology. Lecturer Notes in Computer Science: Proceedings of the 5th International Conference on Asian Digital Libraries (Vol. 2555, pp. 99-110). Berlin: Springer-Verlag.
23. Ou, S., Khoo, C.S.G., & Goh, D. (2005a). Constructing a taxonomy to support multi-document summarization of dissertation abstracts. Journal of Zhejiang University SCIENCE, 6A(11), 1258-1267.
24. Ou, S., Khoo, C.S.G., & Goh, D. (2005b). A multi-document summarization system for sociology dissertation abstracts: Design, implementation and evaluation. In Proceedings of the 9th European Conference on Research and Advanced Technology for Digital Libraries 2005 (pp. 450-461). Berlin: Springer-Verlag.
25. Ou, S., Khoo, C.S.G., Goh, D., & Heng, H.-H. (2004). Automatic parsing discourse structure of sociology dissertation abstract as sentence categorization. In Proceedings of the 8th Conference of the International Society for Knowledge Organization (pp. 345-350). Würzburg: Ergon Verlag.
26. Pasi, T., & Timo, J. (1997). A non-projective dependency parser. In Proceedings of the 5th Conference on Applied Natural Language Processing (pp. 64-71). San Francisco: Morgan Kaufmann.
27. Radev, D.R., Blitzer, J., Winkel, A., Allison, T., & Topper, M. (2003). MEAD documentation (Version 3.08). Retrieved May 24, 2005, from http://www.summarization.com/mead/
28. Radev, D.R., Jing, H., & Budzikowska, M. (2000). Centroid-based summarization of multiple documents: Sentence extraction, utility-based evaluation and user studies. In ANLP/NAACL 2000 Workshop on Automatic Summarization (pp. 21-29). Retrieved May 30,2005, from http://tangra.si.umich. edu/~radev/papers/centroid.pdf
29. Radev, D.R., Jing, H., Stys, M., & Tam, D. (2004). Centroid-based summarization of multiple documents. Information Processing and Management, 40, 919-938.
30. Saggion, H., Radev, D., Teufel, S., Lam, W., & Strassel, S.M. (2002). Developing infrastructure for the evaluation of single and multi-document summarization systems in a cross-lingual environment. In Proceedings of language Resources and Evaluation Conference 2002 (pp. 29-31). Retrieved June, 5, 2005, from http://www.cl.cam.ac.uk/users/sht25/papers/jhu_workshop_lrec2002.pdf
31. Schlesinger, J.D., Conroy, J.M., Okurowski, M.E., & O'Leary, D.P. (2003). Machine and human performance for single and multidocument summarization. IEEE Intelligent Systems, 18(1), 46-54.
32. Trochim, W.M.K. (1999). The research methods knowledge base. Cincinnati, OH: Atomic Dog.
33. White, M., Korelsky, T., Cardie, C., Ng, V., Pierce, D., & Wagstaff, K. (2001). Multi-document summarization via information extraction. In Proceedings of the 1st International Conference on Human Language Technology Research. Retrieved June 3, 2005, from http://www.cse. buffalo.edu/faculty/ drpierce/papers/hlt2001.html
34. Zhang, Z., Blair-Goldensohn, S., & Radev, D.R. (2002). Towards CST- enhanced summarization. In R. Dechter, M. Kearns, & R. Sutton (Eds.), Proceedings of the 18th National Conference on Artificial Intelligence (pp. 439-445). Menlo Park, CA: American Association for Artificial Intelligence.