Optimum polynomial retrieval functions based on the probability ranking principle
ACM Transactions on Information Systems (TOIS)
Foundations of statistical natural language processing
Foundations of statistical natural language processing
The interaction of knowledge sources in word sense disambiguation
Computational Linguistics
Improving accuracy in word class tagging through the combination of machine learning systems
Computational Linguistics
Evaluating sense disambiguation across diverse parameter spaces
Natural Language Engineering
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
Classifier combination for improved lexical disambiguation
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Improving data driven wordclass tagging by system combination
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Applying system combination to base noun phrase identification
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 2
Transformation-based learning in the fast lane
NAACL '01 Proceedings of the second meeting of the North American Chapter of the Association for Computational Linguistics on Language technologies
Minimally supervised morphological analysis by multimodal alignment
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Language independent, minimally supervised induction of lexical probabilities
ACL '00 Proceedings of the 38th Annual Meeting on Association for Computational Linguistics
Augmented mixture models for lexical disambiguation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
Combining Classifiers for word sense disambiguation
Natural Language Engineering
Exploiting parallel texts for word sense disambiguation: an empirical study
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Augmented mixture models for lexical disambiguation
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Natural Language Engineering
Trajectory based word sense disambiguation
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
NeurAlign: combining word alignments using neural networks
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Minority vote: at-least-N voting improves recall for extracting relations
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Data & Knowledge Engineering
Learning semantic relatedness from term discrimination information
Expert Systems with Applications: An International Journal
Applying alternating structure optimization to word sense disambiguation
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
Improving parsing accuracy by combining diverse dependency parsers
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Transfer learning, feature selection and word sense disambguation
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Tense sense disambiguation: a new syntactic polysemy task
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
A probabilistic model based on n-grams for bilingual word sense disambiguation
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
The Journal of Machine Learning Research
Conceptual information-based sense disambiguation
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
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
Robust utilization of context in word sense disambiguation
CONTEXT'05 Proceedings of the 5th international conference on Modeling and Using Context
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
A comparative study of classifier combination applied to NLP tasks
Information Fusion
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This paper demonstrates the substantial empirical success of classifier combination for the word sense disambiguation task. It investigates more than 10 classifier combination methods, including second order classifier stacking, over 6 major structurally different base classifiers (enhanced Naïve Bayes, cosine, Bayes Ratio, decision lists, transformation-based learning and maximum variance boosted mixture models). The paper also includes in-depth performance analysis sensitive to properties of the feature space and component classifiers. When evaluated on the standard SENSEVAL 1 and 2 data sets on 4 languages (English, Spanish, Basque, and Swedish), classifier combination performance exceeds the best published results on these data sets.