By Jan Hajič (auth.), Hrafn Loftsson, Eiríkur Rögnvaldsson, Sigrún Helgadóttir (eds.)
This booklet constitutes the court cases of the seventh foreign convention on Advances in average Language Processing held in Reykjavik, Iceland, in August 2010.
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Additional info for Advances in Natural Language Processing: 7th International Conference on NLP, IceTAL 2010, Reykjavik, Iceland, August 16-18, 2010
Prezio c. eragozpen d. zailtasun The process of generating and analysing the questions consists of the following steps: – Selection of the texts: experts on the generation of didactic resources selected the texts on an speciﬁc domain, taking into account the level of the learners and the length of the texts. – Marking the blanks: the terms to be considered as keys had to be relevant within the text. The marking was carried out manually. – Generation of distractors: for each stem and key selected in the previous step, distractors were generated.
Once distractors are generated, the system searches for any occurrence of the new inﬂected word in a corpus. If there is any occurrence, the generated word becomes a candidate distractor. The searching is carried out in a Basque newspaper corpus which is previously indexed using swish-e4 to ensure a fast search. That certain words do not appear in the corpus does not mean that they are incorrect. Those distractors that do appear in the corpus will be given preference over distractors of common usage.
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 . It has shown encouraging results in a number of NLP tasks such as Information Retrieval [9,10] and Word Sense Disambiguation . It has also been applied in educational applications  and in the evaluation of synonym test questions .