OHSUMED: an interactive retrieval evaluation and new large test collection for research
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The nature of statistical learning theory
The nature of statistical learning theory
A maximum entropy approach to natural language processing
Computational Linguistics
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
A maximum entropy approach to named entity recognition
A maximum entropy approach to named entity recognition
A comparison of algorithms for maximum entropy parameter estimation
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
Maximum entropy estimation for feature forests
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Maximum Likelihood Set for Estimating a Probability Mass Function
Neural Computation
Bidirectional inference with the easiest-first strategy for tagging sequence data
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Scalable training of L1-regularized log-linear models
Proceedings of the 24th international conference on Machine learning
Hierarchical maximum entropy density estimation
Proceedings of the 24th international conference on Machine learning
Arabic diacritic restoration approach based on maximum entropy models
Computer Speech and Language
Emotion Recognition of Pop Music Based on Maximum Entropy with Priors
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Subdomain adaptation of a POS tagger with a small corpus
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
Performance prediction for exponential language models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Shrinking exponential language models
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
A machine learning approach to acronym generation
ISMB '05 Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics
Subdomain adaptation of a POS tagger with a small corpus
LNLBioNLP '06 Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology
Parsing '05 Proceedings of the Ninth International Workshop on Parsing Technology
Stochastic gradient descent training for L1-regularized log-linear models with cumulative penalty
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Polynomial to linear: efficient classification with conjunctive features
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Using non-extensive entropy for text classification
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Practical very large scale CRFs
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Scaling up biomedical event extraction to the entire PubMed
BioNLP '10 Proceedings of the 2010 Workshop on Biomedical Natural Language Processing
The Journal of Machine Learning Research
Constructing maximum entropy language models for movie review subjectivity analysis
Journal of Computer Science and Technology
Discovering sociolinguistic associations with structured sparsity
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Developing a robust part-of-speech tagger for biomedical text
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
Maximum entropy distribution estimation with generalized regularization
COLT'06 Proceedings of the 19th annual conference on Learning Theory
Structured sparsity in structured prediction
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Regularisation techniques for conditional random fields: parameterised versus parameter-free
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
BioNLP '12 Proceedings of the 2012 Workshop on Biomedical Natural Language Processing
Linguistic structure prediction with the sparseptron
XRDS: Crossroads, The ACM Magazine for Students - Scientific Computing
Aligned-Parallel-Corpora Based Semi-Supervised Learning for Arabic Mention Detection
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP)
| Hi-index | 0.00 |
A maximum entropy (ME) model is usually estimated so that it conforms to equality constraints on feature expectations. However, the equality constraint is inappropriate for sparse and therefore unreliable features. This study explores an ME model with box-type inequality constraints, where the equality can be violated to reflect this unreliability. We evaluate the inequality ME model using text categorization datasets. We also propose an extension of the inequality ME model, which results in a natural integration with the Gaussian MAP estimation. Experimental results demonstrate the advantage of the inequality models and the proposed extension.