M. Collins. Parameter estimation for statistical parsing models: Theory and practice of distribution-free methods. In IWPT, 2001. Home/Search Document Details and Download
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Max-Margin Markov Networks - Ben Taskar Carlos (2003) (11 citations) (Correct)
....of this model. For Markov networks that can be triangulated tractably, the resulting quadratic program (QP) has an equivalent polynomial size formulation (e.g. linear for sequences) that allows a very effective solution. By contrast, previous margin based formulations for sequence labeling [3, 1] require an exponential number of constraints. For non triangulated networks, we provide an approximate reformulation based on the relaxation used by belief propagation algorithms [8, 12] Importantly, the resulting QP supports the same kernel trick as do SVMs, allowing probabilistic graphical ....
....by belief propagation algorithms [8, 12] Importantly, the resulting QP supports the same kernel trick as do SVMs, allowing probabilistic graphical models to inherit the important benefits of kernels. We also show a generalization bound for such margin based classifiers. Unlike previous results [3], our bound grows logarithmically rather than linearly with the number of label variables. Our experimental results on character recognition and on hypertext classification, demonstrate dramatic improvements in accuracy over both kernel based instance by instance classification and probabilistic ....
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M. Collins. Parameter estimation for statistical parsing models: Theory and practice of distribution-free methods. In IWPT, 2001.
Case-Factor Diagrams for Structured Probabilistic Modeling - McAllester, Collins, Pereira (2004) (2 citations) Self-citation (Collins) (Correct)
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M. Collins. Parameter estimation for statistical parsing models: Theory and practice of distribution-free methods. In H. Bunt, J. Carroll, and G. Satta, editors, New Developments in Parsing Technology. Kluwer, 2004.
Large Margin Methods for Structured.. - Bartlett.. Self-citation (Collins) (Correct)
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M. Collins. Parameter estimation for statistical parsing models: Theory and practice of distribution-free methods. To appear.
Corrective Language Modeling For Large Vocabulary Asr With.. - Perceptron Algorithm Brian Self-citation (Collins) (Correct)
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M. Collins. Parameter estimation for statistical parsing models: Theory and practice of distribution-free methods. In to appear. 2002.
Max-Margin Markov Networks - Ben Taskar Carlos (2003) (11 citations) (Correct)
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M. Collins. Parameter estimation for statistical parsing models: Theory and practice of distribution-free methods. In IWPT, 2001.
Discriminative Reranking for Natural Language Parsing - Collins, Koo (2000) (35 citations) (Correct)
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Collins, Michael. (2004). Parameter Estimation for Statistical Parsing Models: Theory and Practice of Distribution-Free Methods. In Harry Bunt, John Carroll, and Giorgio Satta, editors, New Developments in Parsing Technology. Kluwer, 2004.
Max-Margin Markov Networks - Ben Taskar Carlos (2003) (11 citations) (Correct)
No context found.
M. Collins. Parameter estimation for statistical parsing models: Theory and practice of distribution-free methods. In IWPT, 2001.
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