Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Word sense disambiguation using Conceptual Density
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
UA-ZSA: web page clustering on the basis of name disambiguation
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
An Algorithm to Discover the k-Clique Cover in Networks
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
SemEval-2010 task 17: All-words word sense disambiguation on a specific domain
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Word sense disambiguation: a graph-based approach using N-Cliques partitioning technique
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Sentiment classification using semantic features extracted from WordNet-based resources
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
A graph-based approach to WSD using relevant semantic trees and n-cliques model
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
UMCC-DLSI: multidimensional lexical-semantic textual similarity
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
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This paper describes the UMCC-DLSI system in SemEval-2010 task number 17 (All-words Word Sense Disambiguation on Specific Domain). The main purpose of this work is to evaluate and compare our computational resource of WordNet's mappings using 3 different methods: Relevant Semantic Tree, Relevant Semantic Tree 2 and an Adaptation of k-clique's Technique. Our proposal is a non-supervised and knowledge-based system that uses Domains Ontology and SUMO.