SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
An Adapted Lesk Algorithm for Word Sense Disambiguation Using WordNet
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
Word sense disambiguation using Conceptual Density
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Automatic noun sense disambiguation
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Acquiring knowledge from the web to be used as selectors for noun sense disambiguation
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Using web selectors for the disambiguation of all words
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
GeoTextMESS: result fusion with fuzzy Borda ranking in geographical information retrieval
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Topic models for word sense disambiguation and token-based idiom detection
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
SemEval-2010 task 17: All-words word sense disambiguation on a specific domain
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Borda-based voting schemes for semantic role labeling
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
| Hi-index | 0.00 |
This paper describes the WSD system developed for our participation to the SemEval-1. It combines various methods by means of a fuzzy Borda voting. The fuzzy Borda vote-counting scheme is one of the best known methods in the field of collective decision making. In our system the different disambiguation methods are considered as experts that give a preference ranking for the senses a word can be assigned. Then the preferences are evaluated using the fuzzy Borda scheme in order to select the best sense. The methods we considered are the sense frequency probability calculated over SemCor, the Conceptual Density calculated over both hyperonyms and meronyms hyerarchies in WordNet, the extended Lesk by Banerjee and Pedersen, and finally a method based on WordNet domains.