Automatic extraction of knowledge from student essays

International Journal of Knowledge and Learning

Volumn 1, Issue 4, 2005, Pages 318-331

  Vargas Vera, Maria ^a   Moreale, Emanuēla ^a  

^a OPEN UNIVERSITY   (United Kingdom)

Author keywords

agent based student portal; automatic extraction of knowledge; student essays

Indexed keywords

EID: 80054489456     PISSN: 17411009     EISSN: 17411017     Source Type: Journal    
DOI: 10.1504/ijkl.2005.008354     Document Type: Article

References (24)

1. Brill E. (1994) ‘Some advances in rule-based part of speech tagging’, Proceedings of the Twelfth National Conference on Artificial Intelligence, pp.722–727.
2. Buckingham Shum, S., Uren, V., Li, G., Domingue, J. and Motta, E. (2002) Visualizing Internetworked Argumentation, in Visualizing Argumentation: Software Tools for Collaborative and Educational Sense-Making’, in P.A. Kirschner, S.J. Buckingham Shum and C.S. Carr (Eds.) London: Springer-Verlag, http://www.VisualizingArgumentation.info
3. Califf, M.E. (1998) PhD Thesis, Department of Computer Sciences, University of Texas, Austin, TX, August, Also appears as Artificial Intelligence Laboratory Technical Report AI 98–276, http://www.cs.utexas.edu/users/ai-lab
4. Califf, M.E. and Mooney, R.J. (1997). Proceedings of the ACL Workshop on Natural Language Learning, Madrid, Spain, July, pp.9–15.
5. Clocksin, W.F. and Mellish, C.S. (1981) Programming in Prolog, Springer-Verlag.
6. Hyland, K. (1998) ‘Persuasion and context: the pragmatics of academic metadiscourse’, Journal of Pragmatics, Vol. 30, pp.437–455.
7. Lloyd, J.W. (2000) ‘A logical setting for the unification of attribute-value and relational learning’, Proceedings of the Workshop Attribute-Value and Relational Learning: Crossing the Boundaries in Association with the Seventeenth International Conference on Machine Learning (ICML-2000), 29 June-2 July, Stanford University.
8. Mitchell, T. (1997) Machine Learning, McGraw-Hill International.
9. Mooney, R.J., Melville, P., Tang, R.L., Shavlik, J., De Castro Dutra, I., Page, D. and Santos Costa V. (2004) ‘Relational data mining with inductive logic programming for link discovery’, in Kargupta et al., (Eds.) Data Mining. Next Generation Challenges and Future Directions, AAAI Press.
10. Moreale, E. and Vargas-Vera, M. (2003) ‘Genre analysis and the automated extraction of arguments from student essays’, The Seventh International Computer Assisted Assessment Conference (CAA-2003), Loughborough University, 8–9 July.
11. Moreale, E. and Vargas-Vera, M. (2004) ‘Semantic services in e-learning: an argumentation case study’, IFETS Journal of Educational Technology and Society – Special Issue on Ontologies and the Semantic Web for E-learning, October.
12. Muggleton, S. (1995) ‘Inverse entailment and progol’, New Generation Computing Journal, Vol. 13, pp.245–286.
13. Muggleton, S. and Feng, C. (1992) ‘Efficient induction of logic programs’, in S. Muggleton (Ed.) Inductive Logic Programming, New York: Academic Press, pp.281–297.
14. Quinlan, J.R. and Cameron-Jones, R.M. (1993) FOIL: A Midterm Report, ECML, pp.3–20.
15. Riloff, E. (1996) ‘An empirical study of automated dictionary construction for information extraction in three domains’, AI Journal, August, Vol. 85.
16. Soderland, S., Fisher, D., Aseltine, J. and Lehnert, W. (1995) ‘Inducing a conceptual dictionary’, Proceedings of the Fourteenth International Join Conference on Artificial Intelligence.
17. Swales, J.M. (1990) Genre Analysis, Cambridge University Press.
18. Teufel, S., Carletta, J. and Moens, M. (1999) ‘An annotation scheme for discourse-level argumentation in research articles’, Proceedings of EACL’99, pp.110–117.
19. Vargas-Vera, M. and Celjuska, D. (2004) ‘Event recognition on news stories and semi-automatic population of an ontology’, IEEE/ACM International Joint Conference on Intelligent Agent and Web Intelligence (WI 2004), Beijing, China: IEEE Computer Society Press, 20–24 September.
20. Vargas-Vera, M. and Motta, E. (2004) ‘AQUA – ontology-based question answering system’, Third International Mexican Conference on Artificial Intelligence (MICAI-2004), Lecture Notes in Computer Science (LNCS 2972), Springer-Verlag, 26–30 April.
21. Vargas-Vera, M., Domingue, J., Kalfoglou, Y., Motta, E. and Buckingham-Shum, S. (2001) ‘Template-driven information extraction for populating ontologies’, Proceedings of the IJCAI'01 Workshop on Ontology Learning, Seattle, WA, USA.
22. Vargas-Vera, M., Motta, E. and Domingue, J. (2003) ‘AQUA: an ontology-driven question answering system’, AAAI Spring Symposium, New Directions in Question Answering, Stanford University, 24–26 March.
23. Vargas-Vera, M., Motta, E., Domingue, J., Lanzoni, M., Stutt, A. and Ciravegna, F. (2002) ‘MnM: ontology driven semi-automatic and automatic support for semantic markup’, The 13th International Conference on Knowledge Engineering and Management (EKAW 2002), Lecture Notes in Computer Science 2473, in A. Gomez-Perez (Ed.) Springer Verlag, pp.379–391.
24. Zelle, J.M., Mooney, J.R. and Konvisser, J.B. (1994) ‘Combining top-down and bottom-up methods in inductive logic programming’, Proceedings of the 11th International Conference on Machine Learning (ML-94), pp.343–351.