Semantic interpretation and the resolution of ambiguity
Semantic interpretation and the resolution of ambiguity
Using multiple knowledge sources for word sense discrimination
Computational Linguistics
Knowledge Sources for Word Sense Disambiguation
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
The interaction of knowledge sources in word sense disambiguation
Computational Linguistics
Evaluating sense disambiguation across diverse parameter spaces
Natural Language Engineering
Solving Distributed Constraint Optimization Problems Using Cooperative Mediation
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
HLT '91 Proceedings of the workshop on Speech and Natural Language
An empirical evaluation of knowledge sources and learning algorithms for word sense disambiguation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Unsupervised Graph-basedWord Sense Disambiguation Using Measures of Word Semantic Similarity
ICSC '07 Proceedings of the International Conference on Semantic Computing
Personalizing PageRank for word sense disambiguation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
A scalable method for multiagent constraint optimization
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Adopt: asynchronous distributed constraint optimization with quality guarantees
Artificial Intelligence - Special issue: Distributed constraint satisfaction
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This work models Word Sense Disambiguation (WSD) problem as a Distributed Constraint Optimization Problem (DCOP). To model WSD as a DCOP, we view information from various knowledge sources as constraints. DCOP algorithms have the remarkable property to jointly maximize over a wide range of utility functions associated with these constraints. We show how utility functions can be designed for various knowledge sources. For the purpose of evaluation, we modelled all words WSD as a simple DCOP problem. The results are competitive with state-of-art knowledge based systems.