Term Ranking Adaptation to the Domain: Genetic Algorithm-Based Optimisation of the C-Value-Reference-Cited by-同舟云学术

Term Ranking Adaptation to the Domain: Genetic Algorithm-Based Optimisation of the C-Value

Published:2014 Issue: Volume: Page:71-83
ISSN:0302-9743
Container-title:Advances in Natural Language Processing
language:
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Author:

Hamon Thierry,Engström Christopher,Silvestrov Sergei

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-10888-9_8

Reference22 articles.

1. Lecture Notes in Artificial Intelligence;S. Aubin,2006

2. Bodenreider, O., Rindflesch, T.C., Burgun, A.: Unsupervised, corpus-based method for extending a biomedical terminology. In: Workshop on Natural Language Processing in the Biomedical Domain, pp. 53–60 (2002)

3. Bordea, G., Buitelaar, P., Polajnar, T.: Domain-independent term extraction through domain modelling. In: Proceedings of the 10th International Conference on Terminology and Artificial Intelligence (TIA 2013), France (2013)

4. Buckley, C., Voorhees, E.: Retrieval system evaluation. In: Voorhees, E., Harman, D. (eds.) TREC: Experiment and Evaluation in Information Retrieval, ch.3. MIT Press (2005)

5. Cabré, M.T., Estopá, R., Vivaldi, J.: Automatic term detection: a review of current systems. In: Recent Advances in Computational Terminology. John Benjamins, Amsterdam (2001)

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