Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A cluster algorithm for graphs
A cluster algorithm for graphs
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Automatic retrieval and clustering of similar words
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
A graph model for unsupervised lexical acquisition
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Unsupervised methods for developing taxonomies by combining syntactic and statistical information
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Mining community structure of named entities from free text
Proceedings of the 14th ACM international conference on Information and knowledge management
Learning word senses with feature selection and order identification capabilities
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
Discovering word senses from a network of lexical cooccurrences
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
International Journal of Data Mining and Bioinformatics
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
International Journal of Data Mining and Bioinformatics
MSDA: Wordsense Discrimination Using Context Vectors and Attributes
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Word Sense Induction Using Graphs of Collocations
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
KnowNet: a proposal for building highly connected and dense knowledge bases from the web
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
Graph connectivity measures for unsupervised parameter tuning of graph-based sense induction systems
UMSLLS '09 Proceedings of the Workshop on Unsupervised and Minimally Supervised Learning of Lexical Semantics
TextGraphs-1 Proceedings of the First Workshop on Graph Based Methods for Natural Language Processing
Building clusters of related words: an unsupervised approach
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Discovering word meanings based on frequent termsets
MCD'07 Proceedings of the 3rd ECML/PKDD international conference on Mining complex data
Using word sense discrimination on historic document collections
Proceedings of the 10th annual joint conference on Digital libraries
Graph-based clustering for computational linguistics: a survey
TextGraphs-5 Proceedings of the 2010 Workshop on Graph-based Methods for Natural Language Processing
Word sense induction & disambiguation using hierarchical random graphs
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Automatic distractor generation for domain specific texts
IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing
Nonparametric Bayesian word sense induction
TextGraphs-6 Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
Word sense induction by community detection
TextGraphs-6 Proceedings of TextGraphs-6: Graph-based Methods for Natural Language Processing
Discovering overlapping communities of named entities
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
Measuring the impact of sense similarity on word sense induction
EMNLP '11 Proceedings of the First Workshop on Unsupervised Learning in NLP
AOW '07 Proceedings of the Third Australasian Workshop on Advances in Ontologies - Volume 85
How tagging pragmatics influence tag sense discovery in social annotation systems
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
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
Evaluating Word Sense Induction and Disambiguation Methods
Language Resources and Evaluation
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This paper presents an unsupervised algorithm which automatically discovers word senses from text. The algorithm is based on a graph model representing words and relationships between them. Sense clusters are iteratively computed by clustering the local graph of similar words around an ambiguous word. Discrimination against previously extracted sense clusters enables us to discover new senses. We use the same data for both recognising and resolving ambiguity.