Experiments in word domain disambiguation for parallel texts
WorkSense '00 Proceedings of the ACL-2000 Workshop on Word Senses and Multi-Linguality
Feature-Based WSD: Why We Are at a Dead-End
PorTAL '02 Proceedings of the Third International Conference on Advances in Natural Language Processing
Word Sense vs. Word Domain Disambiguation: A Maximum Entropy Approach
TSD '02 Proceedings of the 5th International Conference on Text, Speech and Dialogue
Sense information for disambiguation: confluence of supervised and unsupervised methods
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Unsupervised Italian word sense disambiguation using WordNets and unlabeled corpora
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Finding predominant word senses in untagged text
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Automatic identification of infrequent word senses
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Improving text categorization bootstrapping via unsupervised learning
ACM Transactions on Speech and Language Processing (TSLP)
Word domain disambiguation via word sense disambiguation
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
An evaluation of a lexicographer's workbench incorporating word sense disambiguation
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
Understanding the role of conceptual relations in Word Sense Disambiguation
Expert Systems with Applications: An International Journal
Conceptual information-based sense disambiguation
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
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The major goal in ITC-irst's participation at Senseval-2 was to test the role of domain information in word sense disambiguation. The underlying working hypothesis is that domain labels, such as Medicine, Architecture and Sport provide a natural way to establish semantic relations among word senses, which can be profitably used during the disambiguation process. For each task in which we participated (i.e. English all words, English 'lexical sample' and Italian 'lexical sample') a different mix of knowledge based and statistical techniques were implemented.