Abstract
Given the huge amount of static and dynamic content created for eLearning tasks, the major challenge for extending their use is to improve the effectiveness of retrieval and accessibility by making use of Learning Management Systems. The aim of the European project Language Technology for eLearning is to tackle this problem by providing Language Technology based functionalities and by integrating semantic knowledge to facilitate the management, distribution and retrieval of the learning material.
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References
Final Draft, Standard for Learning Object Metadata, IEEE, 2002 – P1484.12.1
Church, K., Gale, W.: Poisson mixtures. Natural Language Engineering 1(2), 163–190 (1995)
Church, K., Kenneth, W., Gale, W.: Inverse Document Frequency (IDF): A Measure of Deviations from Poisson. In: Proc. of Third Workshop on Very Large Corpora (1995)
Sarkar, A., Garthwaite, P.H., De Roeck, A.: A Bayesian Mixture Model for Term Re-occurrence and Burstiness. In: Proc. of the Ninth Conference on Computational Natural Language Learning (CoNLL 2005), Ann Arbor, Michigan, pp. 48–55. ACL (2005)
Hulth, A.: Improved Automatic Keyword Extraction Given More Linguistic Knowledge. In: Proc. of the 2003 Conference on Empirical Methods in Natural Language Processing, pp. 216–223 (2003)
Miliaraki, S., Androutsopoulos, I.: Learning to identify single-snippet answers to definition questions. In: 20th International Conference on Computational Linguistics (COLING 2004), pp. 1360–1366 (2004)
Blair-Goldensohn, S., McKeown, K., Schlaikjer, A.H.: Answering definitional questions: a hybrid approach. New directions in question answering, 47–58 (2004)
Liu, B., Chin, C.W., Ng, H.T.: Mining topic-specific concepts and definitions on the web. In: Proc. 12th Internat. Conf. on World Wide Web, WWW 2003, pp. 251–260 (2003)
Fahmi, I., Bouma, G.: Learning to Identify Definitions using Syntactic Features. In: Proceedings of the EACL 2006 Workshop on Learning Structured Information in Natural Language Applications (2006)
Klavans, J., Muresan, S.: Evaluation of the DEFINDER System for Fully Automatic Glossary Construction. In: Proc. of AMIA Symposium 2001 (2001)
Masolo, C., Borgo, S., Gangemi, A., Guarino, N., Oltramari, A., Schneider, L.: Wonder Web Deliverable D17. The WonderWeb Library of Foundational Ontologies and the DOLCE ontology. Preliminary Report (ver. 2.0, 15-08-2002) (2002)
Kiryakov, A., Simov, K.: Ontologically Supported Semantic Matching. In: The Proceedings of NoDaLiDa 1999 (Nordic Conference on Computational Linguistics), Trondheim, Norway (1999)
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Monachesi, P., Lemnitzer, L., Simov, K. (2006). Language Technology for eLearning. In: Nejdl, W., Tochtermann, K. (eds) Innovative Approaches for Learning and Knowledge Sharing. EC-TEL 2006. Lecture Notes in Computer Science, vol 4227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11876663_70
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DOI: https://doi.org/10.1007/11876663_70
Publisher Name: Springer, Berlin, Heidelberg
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