Relational thesauri in information retrieval
Journal of the American Society for Information Science
An experiment in computational discrimination of English word senses
IBM Journal of Research and Development
Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Symbolic and Neural Learning Algorithms: An Experimental Comparison
Machine Learning
Advances in neural information processing systems 2
Lexical ambiguity and information retrieval
ACM Transactions on Information Systems (TOIS)
Using WordNet to disambiguate word senses for text retrieval
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
The first text retrieval conference (TREC-1) Rockville, MD, U.S.A., 4–6 November, 1992
Information Processing and Management: an International Journal
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Word sense disambiguation and information retrieval
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Towards building contextual representations of word senses using statistical models
Corpus processing for lexical acquisition
A vector space model for automatic indexing
Communications of the ACM
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
HLT '93 Proceedings of the workshop on Human Language Technology
Boosting Applied toe Word Sense Disambiguation
ECML '00 Proceedings of the 11th European Conference on Machine Learning
Use of Dependency Microcontexts in Information Retrieval
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
Learning Rules for Large-Vocabulary Word Sense Disambiguation: A Comparison of Various Classifiers
NLP '00 Proceedings of the Second International Conference on Natural Language Processing
A simple approach to building ensembles of Naive Bayesian classifiers for word sense disambiguation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Word translation disambiguation using bilingual bootstrapping
Computational Linguistics
Word translation disambiguation using Bilingual Bootstrapping
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
A comparison between supervised learning algorithms for word sense disambiguation
ConLL '00 Proceedings of the 2nd workshop on Learning language in logic and the 4th conference on Computational natural language learning - Volume 7
Use of dependency tree structures for the microcontext extraction
RANLPIR '00 Proceedings of the ACL-2000 workshop on Recent advances in natural language processing and information retrieval: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 11
An empirical study of the domain dependence of supervised word sense disambiguation systems
EMNLP '00 Proceedings of the 2000 Joint SIGDAT conference on Empirical methods in natural language processing and very large corpora: held in conjunction with the 38th Annual Meeting of the Association for Computational Linguistics - Volume 13
Class Based Sense Definition Model for word sense tagging and disambiguation
SIGHAN '03 Proceedings of the second SIGHAN workshop on Chinese language processing - Volume 17
A semi-supervised feature clustering algorithm with application to word sense disambiguation
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Unsupervised multilingual word sense disambiguation via an interlingua
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
Combining knowledge- and corpus-based word-sense-disambiguation methods
Journal of Artificial Intelligence Research
Learning rules for large vocabulary word sense disambiguation
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
A new fuzzy rule-based classification system for word sense disambiguation
Intelligent Data Analysis
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A word sense disambiguator that is able to distinguish among the many senses of common words that are found in general-purpose, broad-coverage lexicons would be useful. For example, experiments have shown that, given accurate sense disambiguation, the lexical relations encoded in lexicons such as WordNet can be exploited to improve the effectiveness of information retrieval systems. This paper describes a classifier whose accuracy may be sufficient for such a purpose. The classifier combines the output of a neural network that learns topical context with the output of a network that learns local context to distinguish among the senses of highly ambiguous words.The accuracy of the classifier is tested on three words, the noun line, the verb serve, and the adjective hard; the classifier has an average accuracy of 87%, 90%, and 81%, respectively, when forced to choose a sense for all test cases. When the classifier is not forced to choose a sense and is trained on a subset of the available senses, it rejects test cases containing unknown senses as well as test cases it would misclassify if forced to select a sense. Finally, when there are few labeled training examples available, we describe an extension of our training method that uses information extracted from unlabeled examples to improve classification accuracy.