Computational Linguistics
Experiments on using semantic distances between words in image caption retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition
Introduction to the special issue on the web as corpus
Computational Linguistics - Special issue on web as corpus
The interaction of knowledge sources in word sense disambiguation
Computational Linguistics
Introduction to the special issue on word sense disambiguation: the state of the art
Computational Linguistics - Special issue on word sense disambiguation
Using corpus statistics and WordNet relations for sense identification
Computational Linguistics - Special issue on word sense disambiguation
Natural Language Engineering
95% Replicability for manual word sense tagging
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Integrating multiple knowledge sources to disambiguate word sense: an exemplar-based approach
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Estimating upper and lower bounds on the performance of word-sense disambiguation programs
ACL '92 Proceedings of the 30th annual meeting on Association for Computational Linguistics
Word-sense disambiguation using statistical models of Roget's categories trained on large corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
Scaling to very very large corpora for natural language disambiguation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
HLT '91 Proceedings of the workshop on Speech and Natural Language
Corpus-based statistical sense resolution
HLT '93 Proceedings of the workshop on Human Language Technology
Building a sense tagged corpus with open mind word expert
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
English lexical sample task description
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
WASPBENCH: a lexicographer's workbench supporting state-of-the-art word sense disambiguation
EACL '03 Proceedings of the tenth conference on European chapter of the Association for Computational Linguistics - Volume 2
Journal of the American Society for Information Science and Technology
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
Disambiguating toponyms in news
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Using the Intension of Classes and Properties Definition in Ontologies for Word Sense Disambiguation
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
The bootstrapping of the Yarowsky algorithm in real corpora
Information Processing and Management: an International Journal
A structural approach to the automatic adjudication of word sense disagreements
Natural Language Engineering
Case-Sensitivity of Classifiers for WSD: Complex Systems Disambiguate Tough Words Better
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Data-driven semantic analysis for multilingual WSD and lexical selection in translation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
International Journal of Human-Computer Studies
SemEval-2007 task 07: coarse-grained English all-words task
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
OE: WSD using optimal ensembling (OE) method
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
On the use of automatically acquired examples for all-nouns word sense disambiguation
Journal of Artificial Intelligence Research
WAC '06 Proceedings of the 2nd International Workshop on Web as Corpus
Evalinitiatives '03 Proceedings of the EACL 2003 Workshop on Evaluation Initiatives in Natural Language Processing: are evaluation methods, metrics and resources reusable?
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
Knowledge-based sense disambiguation (almost) for all structures
Information Systems
Defining classifier regions for WSD ensembles using word space features
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Building an optimal WSD ensemble using per-word selection of best system
CIARP'06 Proceedings of the 11th Iberoamerican conference on Progress in Pattern Recognition, Image Analysis and Applications
mySENSEVAL: explaining WSD system performance using target word features
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
Nonambiguous concept mapping in medical domain
ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Were the clocks striking or surprising?: using WSD to improve MT performance
EACL 2012 Proceedings of the Joint Workshop on Exploiting Synergies between Information Retrieval and Machine Translation (ESIRMT) and Hybrid Approaches to Machine Translation (HyTra)
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Has system performance on Word Sense Disambiguation (WSD) reached a limit? Automatic systems don't perform nearly as well as humans on the task, and from the results of the SENSEVAL exercises, recent improvements in system performance appear negligible or even negative. Still, systems do perform much better than the baselines, so something is being done right. System evaluation is crucial to explain these results and to show the way forward. Indeed, the success of any project in WSD is tied to the evaluation methodology used, and especially to the formalization of the task that the systems perform. The evaluation of WSD has turned out to be as difficult as designing the systems in the first place.