Advances in Natural Language Processing: 7th International - download pdf or read online

By Hrafn Loftsson, Eirikur Rögnvaldsson, Sigrun Helgadottir

ISBN-10: 3642147690

ISBN-13: 9783642147692

This booklet constitutes the court cases of the seventh overseas convention on Advances in average Language Processing held in Reykjavik, Iceland, in August 2010.

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Read Online or Download Advances in Natural Language Processing: 7th International Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 16-18, 2010, Proceedings PDF

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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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Therefore the blanks did not have to correspond with words related to the specific domain. 6 Conclusions and Future Work The article presents a study about automatic distractor generation for domain specific texts. The system implements different methods to find distractors semantically similar to the key. It uses context-words to compute the similarity deploying LSA. We have used a balanced part of a specialised corpus to build the model. In the near future we will make use of the whole specialised corpus to model it.

In all, 94 blanks were obtained. As we did not give them any extra information for the marking process, experts marked as keys nouns, verbs, adjectives and adverbs. However, our study from a computational point of view aimed at generating nouns and verbs. 95% verbs. This shows that the idea of working with nouns and verbs makes sense in a real situation. Distractors: The distractors were automatically generated for each blank and method. In the case of the nouns, the four mentioned methods were applied and in the case of the verbs, two methods were applied: the LSA method and the LSA & specialised dictionary method8 .

The main difficulty when working with such languages is the lack of resources. 0. As a consequence, we decided to choose as the starting point a corpus-based method to carry out the experiments. Nonetheless, we also used a knowledge-based approach to refine the distractor selection task (cf. 2). The system uses context-words to compute the similarity deploying Latent Semantic Analysis (LSA). LSA is a theory and method for extracting and representing the meaning of words [8]. It has shown encouraging results in a number of NLP tasks such as Information Retrieval [9,10] and Word Sense Disambiguation [11].

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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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