By Hrafn Loftsson, Eirikur Rögnvaldsson, Sigrun Helgadottir

ISBN-10: 3642147690

ISBN-13: 9783642147692

This publication constitutes the complaints of the seventh overseas convention on Advances in normal Language Processing held in Reykjavik, Iceland, in August 2010.

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Extra resources for Advances in Natural Language Processing: 7th International Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 16-18, 2010, Proceedings

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0402 Table 3 and table 4 show results from the proposed method for different summary sizes, ranging from 10% to 90% of the original sentences of the training documents. The achieved results are encouraging; they show that text summarization is a competitive approach for feature selection and, what is more relevant, that it is especially appropriate for situations having small training sets. In particular, for the reduced collections R8-41 and R8-10, very small summaries (from 10% to 50%) could outperform, with statistical significance, the results obtained by the application of the IG-based approach (IG > 0) as well as those obtained using all words as features.

First of all, the experts marked the blanks of the questions and then the distractors were automatically generated. To identify the best method to generate distractors, we designed different experiments where the system applied all the explained methods for each blank and text. net Automatic Distractor Generation for Domain Specific Texts 33 questions. The blanks were manually marked because the aim of the experiment was to evaluate the quality of the distractors in a real situation. When proceeding, the experts did not follow any particular guidelines but followed the usual procedure7 .

The mental representation of grammatical relations. The MIT Press, Cambridge (1982) 12. : Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data (2001) 13. : A tutorial on Hidden Markov Models and selected applications in speech recognition. Proceedings of the IEEE (1989) 14. es/Ixa Abstract. This paper presents a system which uses Natural Language Processing techniques to generate multiple-choice questions. The system implements different methods to find distractors semantically similar to the correct answer.

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Advances in Natural Language Processing: 7th International Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 16-18, 2010, Proceedings by Hrafn Loftsson, Eirikur Rögnvaldsson, Sigrun Helgadottir


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