Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Table extraction using conditional random fields
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Surprise! What's in a Cebuano or Hindi Name?
ACM Transactions on Asian Language Information Processing (TALIP)
Shallow parsing with conditional random fields
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Efficiently inducing features of conditional random fields
UAI'03 Proceedings of the Nineteenth conference on Uncertainty in Artificial Intelligence
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SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Improving the Performance of a NER System by Post-processing, Context Patterns and Voting
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
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PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
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NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
A hidden Markov model based named entity recognition system: Bengali and Hindi as case studies
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
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Pattern Recognition Letters
Classifier Ensemble using Multiobjective Optimization for Named Entity Recognition
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NEWS '10 Proceedings of the 2010 Named Entities Workshop
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NEWS '10 Proceedings of the 2010 Named Entities Workshop
NLDB'10 Proceedings of the Natural language processing and information systems, and 15th international conference on Applications of natural language to information systems
ACM Transactions on Asian Language Information Processing (TALIP)
Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition
Research on Language and Computation
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EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Expert Systems with Applications: An International Journal
Active machine learning technique for named entity recognition
Proceedings of the International Conference on Advances in Computing, Communications and Informatics
Data & Knowledge Engineering
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This paper describes our application of conditional random fields with feature induction to a Hindi named entity recognition task. With only five days development time and little knowledge of this language, we automatically discover relevant features by providing a large array of lexical tests and using feature induction to automatically construct the features that most increase conditional likelihood. In an effort to reduce overfitting, we use a combination of a Gaussian prior and early stopping based on the results of 10-fold cross validation.