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BACKGROUND The p53 gene (also known as TP53) may be the most common genetic target involved in the malignant transformation of human cells. Direct sequence analysis has demonstrated that alteration of this gene occurs in approximately 45% of head and neck squamous cell carcinomas. The consequences of p53 mutations in these cancers with respect to tumor(More)
Brute-force word sense disambiguation (WSD) algorithms based on semantic relatedness are really time consuming. We study how to perform WSD faster and better on the span of a text. Several stochastic algorithms can be used to perform Global WSD. We focus here on an Ant Colony Algorithm and compare it to two other methods (Genetic and Simulated Annealing(More)
OMNIA is an ongoing project that aims to retrieve images accompanied with multilingual texts. In this paper, we propose a generic method (language and domain independent) to extract conceptual information from such texts and spontaneous user requests. First, texts are labelled with interlingual annotation, then a generic extractor taking a domain on-tology(More)
This article presents the GETALP system for the participation to SemEval-2013 Task 12, based on an adaptation of the Lesk measure propagated through an Ant Colony Algorithm, that yielded good results on the corpus of Se-meval 2007 Task 7 (WordNet 2.1) as well as the trial data for Task 12 SemEval 2013 (Ba-belNet 1.0). We approach the parameter estimation to(More)
There is currently much research in natural language processing fo-cusing on lexical networks. Most of them, in particular the most famous, Word-Net, lack syntagmatic information and especially thematic information (" Tennis Problem "). This article describes conceptual vectors that allows the representation of ideas in any textual segment and offers a(More)