Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
The EuroWordNet Base Concepts and Top Ontology
The EuroWordNet Base Concepts and Top Ontology
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
HLT '93 Proceedings of the workshop on Human Language Technology
Supersense tagging of unknown nouns in WordNet
EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
Supersense tagging of unknown nouns using semantic similarity
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Meaningful clustering of senses helps boost word sense disambiguation performance
ACL-44 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics
Broad-coverage sense disambiguation and information extraction with a supersense sequence tagger
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
English tasks: all-words and verb lexical sample
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
SemEval-2010 task 17: All-words word sense disambiguation on a specific domain
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
GPLSI-IXA: Using semantic classes to acquire monosemous training examples from domain texts
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Using wordnet relations and semantic classes in information retrieval tasks
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Using semantic classes as document keywords
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Regular polysemy: a distributional model
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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As empirically demonstrated by the last SensEval exercises, assigning the appropriate meaning to words in context has resisted all attempts to be successfully addressed. One possible reason could be the use of inappropriate set of meanings. In fact, WordNet has been used as a de-facto standard repository of meanings. However, to our knowledge, the meanings represented by WordNet have been only used for WSD at a very fine-grained sense level or at a very coarse-grained class level. We suspect that selecting the appropriate level of abstraction could be on between both levels. We use a very simple method for deriving a small set of appropriate meanings using basic structural properties of WordNet. We also empirically demonstrate that this automatically derived set of meanings groups senses into an adequate level of abstraction in order to perform class-based Word Sense Disambiguation, allowing accuracy figures over 80%.