A case-based reasoning approach to support story summarization

International Journal of Intelligent Systems

Volumn 18, Issue 8, 2003, Pages 877-891

  Capus, Laurence ^a   Tourigny, Nicole ^a  

^a UNIVERSITÉ LAVAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPH THEORY; INFORMATION ANALYSIS; LINGUISTICS;

CASE-BASED REASONING (CBR) APPROACH;

INTELLIGENT STRUCTURES;

EID: 0041734636     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/int.10122     Document Type: Article

References (26)

1. Anderson JR, Fincham JM. Acquisition of procedural skills from examples. J Exp Psychol Learn Mem Cogn 1994;20:1322-1340.
2. VanLehn K. Analogy events: How examples are used during problem solving. Cogn Sci 1998;22(3):347-388.
3. Capus L, Tourigny N. Learning summarization by using similarities. Comput Assist Lang Learn 1998;11(5):475-488.
4. Capus L. Modélisation d'un système d'aide pour apprendre à résumer dans un environnement de raisonnement à partir de cas. PhD thesis, Département d'informatique, Université Laval, Québec, February 2002.
5. Tourigny N, Capus L. Towards making intelligent training systems using examples more flexible and reusable by exploiting case-based reasoning. In: Proc Workshop W5: Case-Based Reasoning in Intelligent Training Systems, ITS'2000, The New Conditions of Learning and Training, Montreal, Canada, 2000. pp 23-28.
6. Kolodner J. Case-based reasoning. San Mateo, CA: Morgan Kaufmann Publishers; 1993.
7. Burow R, Weber G. Example explanation in learning environments. In: Frasson C, Gauthier G, Lesgold A, editors. Intelligent tutoring systems, Proc 3rd Int Conf ITS'96, Montreal, Canada, June 12-14, 1996, LNAI 1086. New York: Springer; pp 457-465.
8. Chi MTH, Bassok M, Lewis MW, Reimann P, Glaser R. Self-explanations: How students study and use examples in learning to solve problems. Cogn Sci 1989;13:145-182.
9. Conati C, Larkin JH, VanLehn K. A computer framework to support self-explanations. In: du Boulay B, Mizoguchi R, editors. Proc 8th World Conf on Artificial Intelligence in Education: Knowledge and Media in Learning Systems, Amsterdam, The Netherlands: IOS Press; 1997. pp 279-286.
10. Aamodt A, Plaza E. Case-based reasoning: Foundational issues, methodological variations, and system. Artif Intell Commun 1994;7(1):39-59.
11. Capus L, Tourigny N. A cognitive model for automatic narrative summarization in a self-educational system. In: Gauthier G, Frasson C, VanLehn K, editors. Intelligent tutoring systems, Proc 5th Int Conf ITS'2000, Montreal, Canada, June 2000, LNAI 1839, New York: Springer; 2000. p 648.
12. Hutchins J. Introduction to "text summarization" workshop. Summarizing text for intelligent communication. Dagstuhl Seminar 9350. Seminar-Report-79, IBFI Schloss Dagstuhl, Wadern, Germany; 1993.
13. Kintsch W, Van Dijk TA. Toward a model of text comprehension and production. Psychol Rev 1978;85(5):363-394.
14. Baladier L. Le récit: Panorama et repères. Collection Les grands rythmes de la littérature et de la pensée, Paris: STH; 1991.
15. Lehnert WG. Plot units: A narrative summarization strategy. In: Mani I, Maybury MT, editors. Advances in automatic text summarization. Cambridge, MA: The MIT Press; 1999. pp 177-214.
16. Lehnert WG. Plot units and narrative summarization. Cogn Sci 1981;4:293-331.
17. Paice CD. Constructing literature abstracts by computer: Techniques and prospects. Inform Process Manage 1990;26(1):171-186.
18. Adam J-M. Les textes: Types et prototypes. Récit, description, argumentation, explication et dialogue. Paris: Nathan; 1994.
19. Adam J-M, Revaz F. Le récit. Paris: Nathan; 1996.
20. Tourigny N, Capus L. Élimination de la redondance dans la génération automatique de descriptions de comportement de systèmes dynamiques. Int Conf on Natural Language Processing and Industrial Applications - Special Accent on Language Learning, NLP+AI/ TAL+AI'98, August 18-21, Moncton, Canada, 1998. pp 205-212.
21. Dalianis H. Concise natural language generation from formal specifications. PhD thesis, Department of Computer and Systems Sciences, The Royal Institute of Technology and Stockholm University, Sweden, April 1996.
22. McKeown KR, Robin J, Kukich K. Generating concise natural language summaries. Inf Process Manage 1995;31(5):703-733.
23. Newell A. The knowledge level. Artif Intell 1982;18:87-127.
24. Capus L, Tourigny N. Un cadre méthodologique pour les systèmes de formation au moyen d'exemples dans un environnement de raisonnement à partir de cas. Ingénierie des Connaissances, Plate-forme AFIA, June 25-28, Grenoble, France, 2001. pp 427-443.
25. Sowa J. Conceptual structures: Information processing in mind and machine. Reading, MA: Addison-Wesley Publishing Co. 1984.
26. Yang G-C, Choi YB, Oh JC. CGMA: A novel conceptual graph matching algorithm. In: Pfeiffer HD, Nagle TE, editors. Conceptual structures: Theory and implementation, LNAI 754. New York: Springer; 1990. pp 252-261.