Carlos Balderas Posada

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In this paper we present a na¨ıve approach to tackle the problem of cross-lingual WSD and cross-lingual lexical substitution which correspond to the Task #2 and #3 of the SemEval-2 competition. We used a bilingual statistical dictionary, which is calculated with Giza++ by using the EU-ROPARL parallel corpus, in order to calculate the probability of a source(More)
The genetic algorithms are metaheuristic search algorithms based on natural selection mechanisms. The multidimensional knapsack problem (MKP), is a combinatorial optimization NP-Hard [1]. Several metaheuristics have been developed in order to find, if not the optimal solution, a "good solution", for this type of problem, although sometimes the endpoint is(More)
The problem of Word Sense Disambiguation (WSD) is about selecting the correct sense of an ambiguous word in a given context. However, even if the problem of WSD is difficult, when we consider its bilingual version, this problem becomes much more complex. In this case, it is necessary not only to find the correct translation, but such translation must(More)
Word Sense Disambiguation (WSD) is considered one of the most important problems in Natural Language Processing [1]. It is claimed that WSD is essential for those applications that require of language comprehension modules such as search engines, machine translation systems, automatic answer machines, second life agents, etc. Moreover , with the huge(More)
Word Sense Disambiguation (WSD) is considered one of the most important problems in Natural Language Processing. Even if the problem of WSD is difficult, when we consider its bilingual version, this problem becomes to be much more complex. In this case, it is needed not only to find the correct translation, but this translation must consider the contextual(More)
In this paper we present the results of the evaluation of an information retrieval system constructed in the Faculty of Computer Science, BUAP. This system was used in the Data-Centric track of the Initiative for the Evaluation of XML retrieval (INEX 2010). This track is focused on the extensive use of a very rich structure of the documents beyond the(More)
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