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By Jan Hajič (auth.), Hrafn Loftsson, Eiríkur Rögnvaldsson, Sigrún Helgadóttir (eds.)

This e-book constitutes the lawsuits of the seventh overseas convention on Advances in common Language Processing held in Reykjavik, Iceland, in August 2010.

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

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22 E. Acerbi, G. P´erez, and F. Stella Fig. 4. Online processing If it is known that word x can be classified only as tag1 , tag2 , tag3 and tag4 and this information is properly introduced into the model, it allows the model to focus the prediction on the specific subset, ignoring remaining label assignments. Three kind of features were used: – The root or lemma of the word. – Word related features: the highly informative features described above. They consist of a large set of binary features indicating if the word belongs or not to a specific subdictionary.

584–594. Springer, Heidelberg (2006) 3. : Measuring Non-native Speakers’ Proficiency of English by Using a Test with Automatically-Generated Fill-in-the-Blank Questions. In: 2nd Workshop on Building Educational Applications Using NLP (2005) 4. : A Selection Strategy to Improve Cloze Question Quality. In: Proceedings of the Workshop on Intelligent Tutoring Systems for Ill-Defined Domains (2008) 5. : Semantic similarity of distractors in multiple-choice tests: extrinsic evaluation. In: Proceedings of the EACL 2009 Workshop on GEMS: GEometical Models of Natural Language Semantics, pp.

For that, the system employs the context in which the key appears to obtain distractors which are related to the it. 1 Word Space: Latent Semantic Analysis Similarity measures are usual in different NLP applications such us in generating distractors. Two main approaches are used: knowledge-based methods and corpus-based methods. In fact, some researches employ WordNet to measure semantic similarity [4], others use distributional information from the corpus [6] and finally, there are some studies which exploit both approaches [5].

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Advances in Natural Language Processing: 7th International Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 16-18, 2010 by Jan Hajič (auth.), Hrafn Loftsson, Eiríkur Rögnvaldsson, Sigrún Helgadóttir (eds.)


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