Machine Learning
Making large-scale support vector machine learning practical
Advances in kernel methods
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
A machine learning approach to coreference resolution of noun phrases
Computational Linguistics - Special issue on computational anaphora resolution
Parameter optimization for machine-learning of word sense disambiguation
Natural Language Engineering
Ensemble selection from libraries of models
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Improving machine learning approaches to noun phrase coreference resolution
Improving machine learning approaches to noun phrase coreference resolution
A model-theoretic coreference scoring scheme
MUC6 '95 Proceedings of the 6th conference on Message understanding
Improving machine learning approaches to coreference resolution
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Classifier Loss Under Metric Uncertainty
ECML '07 Proceedings of the 18th European conference on Machine Learning
Get out the vote: determining support or opposition from congressional floor-debate transcripts
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Joint extraction of entities and relations for opinion recognition
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Identifying expressions of opinion in context
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
CONLL Shared Task '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning: Shared Task
Multiobjective simulated annealing based approach for feature selection in anaphora resolution
DAARC'11 Proceedings of the 8th international conference on Anaphora Processing and Applications
Ensemble-based coreference resolution
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Domain adaptation for coreference resolution: an adaptive ensemble approach
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Extracting opinion expressions with semi-Markov conditional random fields
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
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While there have been many successful applications of machine learning methods to tasks in NLP, learning algorithms are not typically designed to optimize NLP performance metrics. This paper evaluates an ensemble selection framework designed to optimize arbitrary metrics and automate the process of algorithm selection and parameter tuning. We report the results of experiments that instantiate the framework for three NLP tasks, using six learning algorithms, a wide variety of parameterizations, and 15 performance metrics. Based on our results, we make recommendations for subsequent machine-learning-based research for natural language learning.