Personalized text content summarizer for mobile learning: An automatic text summarization system with relevance based language model

Proceedings - 2012 IEEE 4th International Conference on Technology for Education, T4E 2012

Volumn , Issue , 2012, Pages 90-97

  Yang, Guangbing ^a   Wen, Dunwei ^b   Kinshuk, ^b   Chen, Nian Shing ^c   Sutinen, Erkki ^a  

^a UNIVERSITY OF EASTERN FINLAND   (Finland)

^b ATHABASCA UNIVERSITY   (Canada)

^c NATIONAL SUN YAT SEN UNIVERSITY   (Taiwan)

Author keywords

component; content processing; mobile learning; multiple Bernoullio models; personalized text summarization; relevance modelling

Indexed keywords

AUTOMATIC TEXT SUMMARIZATION; COMPONENT; CONTENT PROCESSING; INFORMATION OVERLOADING; INSTRUCTIONAL DESIGNER; LANGUAGE MODEL; LEARNING CONTENTS; MOBILE LEARNING; MOBILE-LEARNERS; PROBABILISTIC LANGUAGE; PROCESS INFORMATION; TEXT CONTENT; TEXT SUMMARIZATION; USER MODELS;

COMPUTATIONAL LINGUISTICS; TEXT PROCESSING;

ENGINEERING EDUCATION;

EID: 84867944186     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/T4E.2012.23     Document Type: Conference Paper

References (36)

1. A. DeGani, G. Martin, G. Stead, and F. Wade (2010). "Mobile Learning Shareable Content Object Reference Model (m-SCORM) Limitations and Challenges [N09-35]," retrieved Feb 12, 2012 from http://www.m-learning.org/knowledge- centre/research.
2. A. Haghighi and L. Vanderwende, (2009). "Exploring content models for multi-document summarization," in Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, May 31-June 05, 2009, Boulder, Colorado, pp. 362-370.
3. A. Mccallum and K. Nigam. (1998). "A comparison of event models for naive bayes text classification," in Proceedings of AAAI/ICML-98 Workshop on Learning for Text Categorization, pp. 41-48. AAAI press.
4. A. Nenkova and L. Vanderwende, (2005). "The impact of frequency on summarization," Technical report, Microsoft Research.
5. C. Kumar, P. Pingali, V. Varma. (2008). "Generating personalized summaries using publicly available web documents," in Proceedings of the 2008 IEEE/WIC/ACM international conference on web intelligence and international conference on intelligent agent technology, pp. 103-106.
6. C. Wang and D. Blei. (2011). "Collaborative topic modeling for recommending scientific articles," Knowledge Discovery and Data Mining, 2011.
7. C. Y. Lin, G. Cao, J. Gao, and J. Y. Nie, (2006). "An information-theoretic approach to automatic evaluation of summaries," in Proceedings of the HumanLanguage Technology Conference of the NAACL, Main Conference, pp. 463-470.
8. C. Y. Lin, (2004). "Rouge: A package for automatic evaluation of summaries," in Processdings of ACL workshop on Text Summarization Branches Out.
9. C. Zhai, (2002). "Risk Minimization and Language Modeling in Text Retrieval," PhD Thesis, Carnegie Mellon University, 2002.
10. C. Zhai and J. Lafferty, (2001). "A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval," in Proceedings of the 24th ACM SIGIR, pp. 334-342.
11. D. E. Losada. (2005). "Language modeling for sentence retrieval: A comparison between multiple-Bernoulli and multinomial models," in Information Retrieval and Theory Workshop, Glasgow, United Kingdom.
12. D. M. Blei, A. Y. Ng, and M. J. Jordan, (2003). "Latent Dirichlet Allocation," Journal of Machine Learning Research, 3, 993-1022. ISSN 1532-4435.
13. D. Metzler, V. Lavrenko, and W. B. Croft. "Formal multiple bernoulli models for language modeling," in SIGIR 2004, pp.540-541.
14. D. G. Oblinger, and J. L. Oblinger, (2005). "Educating the net generation," retrieved November, 24, 2011 from http://www.educause.edu/ educatingthenetgen
15. D. MacKay and L. Peto, (1995). "A hierarchical dirichlet language model," Natural Language Engineering, 1(3): pp. 289-307.
16. G. Hartmann, G. Stead, and A. DeGani. (2011). "Cross-platform mobile development," retrieved Dec 4, 2011 http://www.mole-project.net/images/ documents/deliverables/WP4-crossplatform-mobile-development-March2011.pdf
17. th, 2012 http://jgollner.typepad.com/files/the-emergence-of- intelligent-content-jgollner-jan-2009.pdf
18. H. Daumé III and D. Marcu, (2006). "Bayesian query-focused summarization," in Proceedings of the Conference of the Association for Computational Linguistics (ACL).
19. H. Liu, B. Salem, M. Rauterberg (2009). "A survey on user profile modeling for personalized service delivery systems," in Proceedings of IADIS International Conference on Interfaces and Human Computer Interaction 2009 (pp.45-51): ISBN: 978-972-8924-85-0.
20. I. Mani, G. Klein, D. House, L. Hirschman, T. Firmin, and B. Sundheim, (2002). "SUMMAC: A Text Summarization Evaluation," Natural Language Processing, vol. 8, pp. 43-68.
21. J. Eisenstein and R. Barzilay, (2008). "Bayesian unsupervised topic segmentation," in Proceedings of the Conference on Empirical Methods in Natural Language Processing, Oct 25-27, 2008, Honolulu, Hawaii.
22. J.-C. Ying, S.-J. Yen, Y.-S. Lee, Y.-C. Wu, J.-C. Yang, (2007). "Language Model Passage Retrieval for Question-Oriented Multi Document Summarization," in Proceedings of the Document Understanding Conference (DUC), 2007.
23. J. L. Neto, A. A. Freitas, and C. A. A. Kaestner, (2002). "Automatic Text Summarization Using a Machine Learning Approach," in Proceedings of the 16th Brazilian Symposium on Artificial Intelligence: Advance in Artificial Intelligence, London.
24. J. Makhoul, F. Kubala, R. Schwartz, and R. Weischedel, (1999). "Performance Measures for Information Extraction," in Proceedings of DARPA Broadcast News Workshop, 1999.
25. J. P. Callen, (1994). "Passage-level evidence in document retrieval," in Proceedings of the Seventeenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 302-310.
26. J. Ponte, and W. B. Croft, (1998). "A Language Modeling Approach to Information Retrieval," in Proceedings of the 21st ACM SIGIR Conference on Research & Development on Information Retrieval, pp. 275-281.
27. J. Reynar, A. Ratnaparkhi, (1997). "A maximum entropy approach to identifying sentence boundaries," in Proceedings of the Fifth Conference on Applied Natural Language Processing, pp. 16-19.
28. L. Vanderwende, H. Suzuki, C. Brockett, and A. Nenkova, (2007). "Beyond sumbasic: Task-focused summarization with sentence simplification and lexical expansion," Information Processing and Management an International Journal, Vol. 43, No. 6(2007), pp. 1606-1618
29. M. Witbrock and V. Mittal, (1999). "Ultra-summarization: A statistical approach to generating highly condensed non-extractive summaries," in Proceedings of the 22nd International Conference on Research and Development in Information Retrieval (SIGIR-99), Poster Session, Berkeley, CA (1999), pp. 315-316.
30. R. Barzilay, L. Lee, (2004). "Catching the drift: Probabilistic content models, with applications to generation and summarization," in Proceedings of Human Language Technology Conference and North American Chapter of the Association for Computational Linguistics(HLT-NAACL), pp. 113-120, 2004.
31. S. J. H. Yang, J. Zhang, N. W. Y. Shao, & R. C. S. Chen. (2007). "A UOI-based content adaptation method for improving web content accessibility in the mobile internet," ETRI Journal, 29(6), pp. 794-807.
32. S. J. H. Yang, J. Zhang, and A. F. M. Zhang, (2008). "Applying Web Page Adaptation Technique to the Augmentation of Mobile Learning," Research and Practice in Technology Enhanced Learning, vol. 3, pp. 253-273, doi: 10.1142/S1793206808000574.
33. S. P. Yong, Ahmad I. Z. Abidin and Y. Y. Chen, (2005). "A Neural Based Text Summarization System," in Proceedings of the 6th International Conference of DATA MINING, Greece, 2005.
34. T. Joachims, (1998), "Text Categorization with SupportVector Machines: Learning with Many Relevant Features," in European Conference on Machine Learning (ECML).
35. V. Lavrenko and W. B. Croft, (2001). "Relevance-Based Language Models," In the 24th ACM SIGIR Conference on Research & Development on Information Retrieval, pp. 120-127.
36. Y. Yamauchi and M. Mukaidono, "Probabilistic inference and bayesian theorem on rough sets," in Rough Sets and Current Trends in Computing, ser. LNCS, vol. 2005, 2000, pp. 73-81.