Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09
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Published By Association For Computational Linguistics

9781932432381

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An analysis of bootstrapping for the recognition of temporal expressions

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09 ◽

10.3115/1621829.1621836 ◽

2009 ◽

Cited By ~ 2

Author(s):

Jordi Poveda ◽

Mihai Surdeanu ◽

Jordi Turmo

Keyword(s):

Temporal Expressions

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Discriminative models for semi-supervised natural language learning

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09 ◽

10.3115/1621829.1621840 ◽

2009 ◽

Cited By ~ 1

Author(s):

Sajib Dasgupta ◽

Vincent Ng

Keyword(s):

Natural Language ◽

Language Learning ◽

Discriminative Models ◽

Natural Language Learning

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Latent Dirichlet Allocation with topic-in-set knowledge

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09 ◽

10.3115/1621829.1621835 ◽

2009 ◽

Cited By ~ 47

Author(s):

David Andrzejewski ◽

Xiaojin Zhu

Keyword(s):

Latent Dirichlet Allocation ◽

Dirichlet Allocation

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A comparison of structural correspondence learning and self-training for discriminative parse selection

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09 ◽

10.3115/1621829.1621834 ◽

2009 ◽

Author(s):

Barbara Plank

Keyword(s):

Structural Correspondence

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Can one language bootstrap the other

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09 ◽

10.3115/1621829.1621838 ◽

2009 ◽

Cited By ~ 6

Author(s):

Zheng Chen ◽

Heng Ji

Keyword(s):

The Other

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On semi-supervised learning of Gaussian mixture models for phonetic classification

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09 ◽

10.3115/1621829.1621839 ◽

2009 ◽

Cited By ~ 3

Author(s):

Jui-Ting Huang ◽

Mark Hasegawa-Johnson

Keyword(s):

Supervised Learning ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Phonetic Classification

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Is unlabeled data suitable for multiclass SVM-based web page classification?

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09 ◽

10.3115/1621829.1621833 ◽

2009 ◽

Cited By ~ 1

Author(s):

Arkaitz Zubiaga ◽

Víctor Fresno ◽

Raquel Martínez

Keyword(s):

Unlabeled Data ◽

Web Page ◽

Web Page Classification ◽

Multiclass Svm ◽

Page Classification

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Surrogate learning

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09 ◽

10.3115/1621829.1621831 ◽

2009 ◽

Cited By ~ 1

Author(s):

Sriharsha Veeramachaneni ◽

Ravi Kumar Kondadadi

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A simple semi-supervised algorithm for named entity recognition

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09 ◽

10.3115/1621829.1621837 ◽

2009 ◽

Cited By ~ 33

Author(s):

Wenhui Liao ◽

Sriharsha Veeramachaneni

Keyword(s):

Named Entity Recognition ◽

Entity Recognition ◽

Named Entity

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Keepin' it real

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09 ◽

10.3115/1621829.1621832 ◽

2009 ◽

Cited By ~ 5

Author(s):

Andrew B. Goldberg ◽

Xiaojin Zhu

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Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Association For Computational Linguistics

An analysis of bootstrapping for the recognition of temporal expressions

Discriminative models for semi-supervised natural language learning

Latent Dirichlet Allocation with topic-in-set knowledge

A comparison of structural correspondence learning and self-training for discriminative parse selection

Can one language bootstrap the other

On semi-supervised learning of Gaussian mixture models for phonetic classification

Is unlabeled data suitable for multiclass SVM-based web page classification?

Surrogate learning

A simple semi-supervised algorithm for named entity recognition

Keepin' it real

Proceedings of the NAACL HLT 2009 Workshop on Semi-Supervised Learning for Natural Language Processing - SemiSupLearn '09
Latest Publications