An experiment in computational discrimination of English word senses
IBM Journal of Research and Development
Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Technometrics
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Two languages are more informative than one
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Word-sense disambiguation using statistical methods
ACL '91 Proceedings of the 29th 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
Lexical disambiguation using simulated annealing
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 1
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
Adaptive language modeling using the maximum entropy principle
HLT '93 Proceedings of the workshop on Human Language Technology
A hybrid approach to adaptive statistical language modeling
HLT '94 Proceedings of the workshop on Human Language Technology
A maximum entropy model for prepositional phrase attachment
HLT '94 Proceedings of the workshop on Human Language Technology
A Parallel System for Text Inference Using Marker Propagations
IEEE Transactions on Parallel and Distributed Systems
Knowledge lean word-sense disambiguation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An automatic method for generating sense tagged corpora
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
The use of word sense disambiguation in an information extraction system
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Information Retrieval by Means of Word Sense Disambiguation
TDS '00 Proceedings of the Third International Workshop on Text, Speech and Dialogue
Lexical Semantic Ambiguity Resolution with Bigram-Based Decision Trees
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
CICLing '02 Proceedings of the Third International Conference on Computational Linguistics and Intelligent Text Processing
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
Topical clustering of MRD senses based on information retrieval techniques
Computational Linguistics - Special issue on word sense disambiguation
Automatic word sense discrimination
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
Selective sampling for example-based word sense disambiguation
Computational Linguistics
Decomposable modeling in natural language processing
Computational Linguistics
Natural Language Engineering
A broad-coverage word sense tagger
ANLC '97 Proceedings of the fifth conference on Applied natural language processing: Descriptions of system demonstrations and videos
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
Sequential model selection for word sense disambiguation
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Word sense disambiguation in untagged text based on term weight learning
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Using syntactic dependency as local context to resolve word sense ambiguity
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on 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
Word translation disambiguation using bilingual bootstrapping
Computational Linguistics
A method for word sense disambiguation of unrestricted text
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
A decision tree of bigrams is an accurate predictor of word sense
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Co-active intelligence for image retrieval
Proceedings of the 13th annual ACM international conference on Multimedia
WWSM '00 Proceedings of the ACL-2000 workshop on Word senses and multi-linguality - Volume 8
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
Practical Word-Sense Disambiguation Using Co-occurring Concept Codes
Machine Translation
Automatic acquisition of English topic signatures based on a second language
ACLstudent '04 Proceedings of the ACL 2004 workshop on Student research
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
Lexical Constellations and the Structure of Meaning: A Prototype Application to WSD
CICLing '07 Proceedings of the 8th International Conference on Computational Linguistics and Intelligent Text Processing
Adjective Sense Disambiguation at the Border Between Unsupervised and Knowledge-Based Techniques
Fundamenta Informaticae
Multi-criteria-based strategy to stop active learning for data annotation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Implementing a sense tagger in a general architecture for text engineering
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
Keepin' it real: semi-supervised learning with realistic tuning
SemiSupLearn '09 Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing
Combining knowledge- and corpus-based word-sense-disambiguation methods
Journal of Artificial Intelligence Research
WorkSense '00 Proceedings of the ACL-2000 Workshop on Word Senses and Multi-Linguality
Artificial Intelligence Review
Confidence-based stopping criteria for active learning for data annotation
ACM Transactions on Speech and Language Processing (TSLP)
Active learning with sampling by uncertainty and density for data annotations
IEEE Transactions on Audio, Speech, and Language Processing
A new supervised learning algorithm for word sense disambiguation
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Word sense disambiguation methods
Programming and Computing Software
State of the art versus classical clustering for unsupervised word sense disambiguation
Artificial Intelligence Review
HITS-based seed selection and stop list construction for bootstrapping
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Discovering text patterns by a new graphic model
MLDM'11 Proceedings of the 7th international conference on Machine learning and data mining in pattern recognition
Efficient stepwise selection in decomposable models
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Uncertainty-based active learning with instability estimation for text classification
ACM Transactions on Speech and Language Processing (TSLP)
Combining classifiers based on OWA operators with an application to word sense disambiguation
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition
Combining classifiers with multi-representation of context in word sense disambiguation
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Developing an algorithm for mining semantics in texts
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Adjective Sense Disambiguation at the Border Between Unsupervised and Knowledge-Based Techniques
Fundamenta Informaticae
Cognitive canonicalization of natural language queries using semantic strata
ACM Transactions on Speech and Language Processing (TSLP)
Supervised word sense disambiguation using semantic diffusion kernel
Engineering Applications of Artificial Intelligence
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Most probabilistic classifiers used for word-sense disambiguation have either been based on only one contextual feature or have used a model that is simply assumed to characterize the interdependencies among multiple contextual features. In this paper, a different approach to formulating a probabilistic model is presented along with a case study of the performance of models produced in this manner for the disambiguation of the noun interest. We describe a method for formulating probabilistic models that use multiple contextual features for word-sense disambiguation, without requiring untested assumptions regarding the form of the model. Using this approach, the joint distribution of all variables is described by only the most systematic variable interactions, thereby limiting the number of parameters to be estimated, supporting computational efficiency, and providing an understanding of the data.