By Hrafn Loftsson, Eirikur Rögnvaldsson, Sigrun Helgadottir
This e-book constitutes the lawsuits of the seventh overseas convention on Advances in normal Language Processing held in Reykjavik, Iceland, in August 2010.
Read 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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Additional resources for Advances in Natural Language Processing: 7th International Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 16-18, 2010, Proceedings
We must not forget that experts marked the blanks without being instructed. 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.
All of them tend to obtain better results with the second text and tend to create easy items. The results of item discrimination take into account the responses of the high-scoring and low-scoring students. The high-scoring group is the top 1/3 of the class, and the low-scoring group comprises students with test scores in the bottom 1/3 of the class. Regarding item discrimination, the corrected pointbiserial index with its standard deviation as well as the percentage of items with negative values are shown in the table.
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 this approach, we have explored item diﬃculty, item discrimination and distractors’ evaluation based on Classical Test Theory. The results shown for the manually generated test were promising, and there were not signiﬁcant diﬀerences among the methods. The item discrimination measure led us to study the option-by-option responses of high-scored and low-scored groups and we ﬁnished the study with the evaluation of the distractors.