WordNet: a lexical database for English
Communications of the ACM
Instance based learning with automatic feature selection applied to word sense disambiguation
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
HLT '93 Proceedings of the workshop on Human Language Technology
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
SenseLearner: word sense disambiguation for all words in unrestricted text
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
Pattern learning and active feature selection for word sense disambiguation
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
SenseLearner: word sense disambiguation for all words in unrestricted text
ACLdemo '05 Proceedings of the ACL 2005 on Interactive poster and demonstration sessions
Natural language watermarking via morphosyntactic alterations
Computer Speech and Language
Discovering User Profiles from Semantically Indexed Scientific Papers
From Web to Social Web: Discovering and Deploying User and Content Profiles
Toward communicating simple sentences using pictorial representations
Machine Translation
A supervised algorithm for verb disambiguation into VerbNet classes
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
A generalized vector space model for text retrieval based on semantic relatedness
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
BestCut: a graph algorithm for coreference resolution
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UNT: SubFinder: combining knowledge sources for automatic lexical substitution
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Word sense disambiguation through sememe labeling
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
It makes sense: a wide-coverage word sense disambiguation system for free text
ACLDemos '10 Proceedings of the ACL 2010 System Demonstrations
UTD: Classifying semantic relations by combining lexical and semantic resources
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Domain based semantic compression for automatic text comprehension augmentation and recommendation
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
A hybrid approach for relation extraction aimed at the semantic web
FQAS'06 Proceedings of the 7th international conference on Flexible Query Answering Systems
An experimental study on unsupervised graph-based word sense disambiguation
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Word sense disambiguation for spam filtering
Electronic Commerce Research and Applications
Ontology learning from text: A look back and into the future
ACM Computing Surveys (CSUR)
Word sense disambiguation as an integer linear programming problem
SETN'12 Proceedings of the 7th Hellenic conference on Artificial Intelligence: theories and applications
Sense-specific lexical information for reading assistance
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
Semantics-based information extraction for detecting economic events
Multimedia Tools and Applications
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This paper describes SENSELEARNER --- a minimally supervised word sense disambiguation system that attempts to disambiguate all content words in a text using WordNet senses. We evaluate the accuracy of SENSELEARNER on several standard sense-annotated data sets, and show that it compares favorably with the best results reported during the recent SENSEVAL evaluations.