The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Discovering word senses from text
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic word sense discrimination
Computational Linguistics - Special issue on word sense disambiguation
Hierarchical Clustering Algorithms for Document Datasets
Data Mining and Knowledge Discovery
Structural Semantic Interconnections: A Knowledge-Based Approach to Word Sense Disambiguation
IEEE Transactions on Pattern Analysis and Machine Intelligence
HLT '93 Proceedings of the workshop on Human Language Technology
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
LexRank: graph-based lexical centrality as salience in text summarization
Journal of Artificial Intelligence Research
Word independent context pair classification model for word sense disambiguation
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Computational Linguistics
Word sense disambiguation: A survey
ACM Computing Surveys (CSUR)
A structural approach to the automatic adjudication of word sense disagreements
Natural Language Engineering
Word Sense Induction Using Graphs of Collocations
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Graph-based analysis of semantic drift in Espresso-like bootstrapping algorithms
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
UBC-AS: a graph based unsupervised system for induction and classification
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UMND2: SenseClusters applied to the sense induction task of Senseval-4
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UOY: a hypergraph model for word sense induction & disambiguation
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
UPV-SI: word sense induction using self term expansion
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Detecting compositionality in multi-word expressions
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
UHD: Cross-lingual word sense disambiguation using multilingual co-occurrence graphs
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
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
A quantitative evaluation of global word sense induction
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
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
The role of hubness in clustering high-dimensional data
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Latent vector weighting for word meaning in context
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Experiments on hybrid corpus-based sentiment lexicon acquisition
HYBRID '12 Proceedings of the Workshop on Innovative Hybrid Approaches to the Processing of Textual Data
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 explores the use of two graph algorithms for unsupervised induction and tagging of nominal word senses based on corpora. Our main contribution is the optimization of the free parameters of those algorithms and its evaluation against publicly available gold standards. We present a thorough evaluation comprising supervised and unsupervised modes, and both lexical-sample and all-words tasks. The results show that, in spite of the information loss inherent to mapping the induced senses to the gold-standard, the optimization of parameters based on a small sample of nouns carries over to all nouns, performing close to supervised systems in the lexical sample task and yielding the second-best WSD systems for the Senseval-3 all-words task.