Didier Schwab

Learn 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)
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 Semeval 2007 Task 7 (WordNet 2.1) as well as the trial data for Task 12 SemEval 2013 (BabelNet 1.0). We approach the parameter estimation to(More)
We have developed a cDNA-dependent scintillation proximity assay (SPA) for rabbit apolipoprotein A-I that follows a classic radioimmunoassay scheme, in that antiserum and radiolabeled ligand are used in a process to quantify a source containing unlabeled ligand. To synthesize radiolabeled ligand we isolated a full-length rabbit apolipoprotein A-I (apoA-I)(More)
Word Sense Disambiguation (WSD) is a difficult problem for NLP. Algorithm that aim to solve the problem focus on the quality of the disambiguation alone and require considerable computational time. In this article we focus on the study of three unsupervised stochastic algorithms for WSD: a Genetic Algorithm (GA) and a Simulated Annealing algorithm (SA) from(More)
We present our submitted systems for Semantic Textual Similarity (STS) Track 4 at SemEval-2017. Given a pair of SpanishEnglish sentences, each system must estimate their semantic similarity by a score between 0 and 5. In our submission, we use syntax-based, dictionary-based, context-based, and MT-based methods. We also combine these methods in unsupervised(More)
Résumé. En traitement automatique des langues, les ressources lexico-sémantiques ont été incluses dans un grand nombre d’applications. La création manuelle de telles ressources est consommatrice de temps humain et leur couverture limitée ne permet pas toujours de couvrir les besoins des applications. Ce problème est encore plus important pour les langues(More)