Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
HLT '93 Proceedings of the workshop on Human Language Technology
Polysemy and sense proximity in the Senseval-2 test suite
WSD '02 Proceedings of the ACL-02 workshop on Word sense disambiguation: recent successes and future directions - Volume 8
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
A comparison of extrinsic clustering evaluation metrics based on formal constraints
Information Retrieval
Semeval-2007 task 02: evaluating word sense induction and discrimination systems
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
Evaluating and optimizing the parameters of an unsupervised graph-based WSD algorithm
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
Investigations on word senses and word usages
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
The role of named entities in web people search
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
The S-Space package: an open source package for word space models
ACLDemos '10 Proceedings of the ACL 2010 System Demonstrations
SemEval-2010 task 14: Word sense induction & disambiguation
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
UoY: Graphs of unambiguous vertices for word sense induction and disambiguation
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Inducing word senses to improve web search result clustering
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Latent semantic word sense induction and disambiguation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Word sense induction by community detection
TextGraphs-6 Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
Word sense induction for novel sense detection
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
MaxMax: a graph-based soft clustering algorithm applied to word sense induction
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
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Word Sense Disambiguation aims to label the sense of a word that best applies in a given context. Graded word sense disambiguation relaxes the single label assumption, allowing for multiple sense labels with varying degrees of applicability. Training multi-label classifiers for such a task requires substantial amounts of annotated data, which is currently not available. We consider an alternate method of annotating graded senses using Word Sense Induction, which automatically learns the senses and their features from corpus properties. Our work proposes three objective to evaluate performance on the graded sense annotation task, and two new methods for mapping between sense inventories using parallel graded sense annotations. We demonstrate that sense induction offers significant promise for accurate graded sense annotation.