By Edward Gibson (auth.), Epaminondas Kapetanios, Vijayan Sugumaran, Myra Spiliopoulou (eds.)
This ebook constitutes the refereed lawsuits of the thirteenth foreign convention on functions of traditional Language to details platforms, NLDB 2008, held in London, united kingdom, in June 2008.
The 31 revised complete papers and 14 revised poster papers awarded including three invited talks and four papers of the NLDB 2008 doctoral symposium have been rigorously reviewed and chosen from eighty two submissions. The papers are equipped in topical sections on common language processing and knowing, conceptual modelling and ontologies, info retrieval, querying and query answering, rfile processing and textual content mining, software program (requirements) engineering and specification.
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Extra resources for Natural Language and Information Systems: 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008 London, UK, June 24-27, 2008 Proceedings
These methods have been applied with default values and no feature normalization mainly using Weka3 . Tuning is left for future research. To test the accuracy of the models, 10fold cross-validation was used. The results of these supervised ML methods, combining the best 18 feature variants (Table 1) incrementally, as explained above, are shown in Table 2. Table 2. 29% accuracy which is better than the best result for any of the other ML methods. 28% accuracy. Nonetheless, the use of any of the ML methods achieves better results than any one of the feature variants.
3 Features for Abbreviation Disambiguation Ambiguous abbreviations have several senses, but within a specific context, such as a sentence, abbreviations usually have only one specific sense. To find the correct sense of any abbreviation, 18 different features were defined. Each feature is described as a rule and implemented as a baseline method in the developed system. These methods are divided into 3 distinct groups: Statistical attributes (2 methods), Hebrew specific attributes (1 method) and Contextual relationship attributes (15 methods).
Springer, Heidelberg (2004) 13. : Word Sense Disambiguation: The State of the Art. Computational Linguistics 24(1), 1–40 (1998) Abbreviation Disambiguation: Experiments with Various Variants 39 14. Joint Commission on Accreditation of Healthcare Organizations: Medication errors related to potentially dangerous abbreviation. Sentinel Event Alert 23 (2001) 15. : A Study of Abbreviations in MEDLINE Abstracts. , pp. 464–469 (2002) 16. : The Magical Number Seven, Plus or Minus Two: Some Limits on our Capacity of Information.
Natural Language and Information Systems: 13th International Conference on Applications of Natural Language to Information Systems, NLDB 2008 London, UK, June 24-27, 2008 Proceedings by Edward Gibson (auth.), Epaminondas Kapetanios, Vijayan Sugumaran, Myra Spiliopoulou (eds.)