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Learning and Inference with Constraints AAAI ’08
– Ming-wei Chang, Lev Ratinov, Nicholas Rizzolo, Dan Roth
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20
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Novel Estimation Methods for Unsupervised Discovery of Latent Structure in Natural Language Text
– Noah Ashton Smith
- 2006
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Large-Scale Semi-Supervised Learning for Natural Language Processing
– Shane Bergsma
- 2010
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Improving the . . . of Discriminative Learning Methods for Markov Logic Networks
– Tuyen Ngoc Huynh
- 2011
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Constructing Reference Sets from Unstructured, Ungrammatical Text
– Matthew Michelson, Craig A. Knoblock
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2
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Generalized Expectation Criteria for Bootstrapping Extractors using Record-Text Alignment
– Kedar Bellare, Andrew Mccallum
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8
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Structured Output Learning with Indirect Supervision
– Ming-wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth
- 2010
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35
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Generalized expectation criteria for semi-supervised learning of conditional random fields
– Gideon S. Mann, Andrew Mccallum
- 2008
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Minimal Supervision . . . BOOTSTRAPPING GLOBAL PATTERNS FROM LOCAL KNOWLEDGE
– Michael James Connor
- 2011
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A STUDY OF STRUCTURED OUTPUT PROBLEMS IN NATURAL LANGUAGE PROCESSING BY
– Vasin Punyakanok
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Constraints as Prior Knowledge Ming-Wei
– Lev Ratinov, Dan Roth
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1
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Conditional Graphical Models for Protein Structure Prediction
– Yan Liu
- 2005
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Unsupervised Learning on an Approximate Corpus ∗
– Jason Smith, Jason Eisner
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Posterior Regularization for LEARNING WITH SIDE INFORMATION AND WEAK SUPERVISION
– Kuzman Ganchev
- 2010
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Graphical Models for Primarily Unsupervised Sequence Labeling
– Neal Parikh, Mark Dredze
- 2007
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28
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Mining Reference Tables for Automatic Text Segmentation
– Eugene Agichtein, Venkatesh Ganti
- 2004
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10
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Semi-supervised learning for natural language
– Percy Liang
- 2005
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Combining Labeled and Unlabeled Data with Word-Class Distribution Learning
– Yanjun Qi, Koray Kavukcuoglu, Ronan Collobert, Jason Weston, Pavel P. Kuksa
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6
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LREC’10 Learning Based Java for Rapid Development of NLP Systems
– Nick Rizzolo, Dan Roth
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