A Winnow-Based Approach to Context-Sensitive Spelling Correction
Machine Learning - Special issue on natural language learning
Learning to Parse Natural Language with Maximum Entropy Models
Machine Learning - Special issue on natural language learning
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Automatic Rule Acquisition for Spelling Correction
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Exploiting diversity for natural language parsing
Exploiting diversity for natural language parsing
Contextual spelling correction using latent semantic analysis
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Combining Trigram-based and feature-based methods for context-sensitive spelling correction
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
Using the web to obtain frequencies for unseen bigrams
Computational Linguistics - Special issue on web as corpus
Scaling to very very large corpora for natural language disambiguation
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Sequential conditional Generalized Iterative Scaling
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Web-based models for natural language processing
ACM Transactions on Speech and Language Processing (TSLP)
An incremental decision list learner
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Using the web to overcome data sparseness
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
Randomized algorithms and NLP: using locality sensitive hash function for high speed noun clustering
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Towards terascale knowledge acquisition
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Web resources for language modeling in conversational speech recognition
ACM Transactions on Speech and Language Processing (TSLP)
Sentiment Detection Using Lexically-Based Classifiers
TSD '08 Proceedings of the 11th international conference on Text, Speech and Dialogue
A mission for computational natural language learning
CoNLL-X '06 Proceedings of the Tenth Conference on Computational Natural Language Learning
The effect of corpus size on case frame acquisition for discourse analysis
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Web-scale distributional similarity and entity set expansion
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2
Some of our best friends are statisticians
TSD'07 Proceedings of the 10th international conference on Text, speech and dialogue
Processing natural language without natural language processing
CICLing'03 Proceedings of the 4th international conference on Computational linguistics and intelligent text processing
An overview of Microsoft web N-gram corpus and applications
HLT-DEMO '10 Proceedings of the NAACL HLT 2010 Demonstration Session
Search right and thou shalt find...: using web queries for learner error detection
IUNLPBEA '10 Proceedings of the NAACL HLT 2010 Fifth Workshop on Innovative Use of NLP for Building Educational Applications
Journal of Artificial Intelligence Research
Web scale NLP: a case study on url word breaking
Proceedings of the 20th international conference on World wide web
The impact of language models and loss functions on repair disfluency detection
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Technical Section: Neural network-based symbol recognition using a few labeled samples
Computers and Graphics
Reduction of maximum entropy models to hidden markov models
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Another look at the data sparsity problem
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Text adaptation using formal concept analysis
ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development
Journal of Intelligent Information Systems
A scalable distributed syntactic, semantic, and lexical language model
Computational Linguistics
Predicting learner levels for online exercises of Hebrew
Proceedings of the Seventh Workshop on Building Educational Applications Using NLP
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In this paper, we discuss experiments applying machine learning techniques to the task of confusion set disambiguation, using three orders of magnitude more training data than has previously been used for any disambiguation-in-string-context problem. In an attempt to determine when current learning methods will cease to benefit from additional training data, we analyze residual errors made by learners when issues of sparse data have been significantly mitigated. Finally, in the context of our results, we discuss possible directions for the empirical natural language research community.