A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing
Dual decomposition, and more generally Lagrangian relaxation, is a classical method for combinatorial optimization; it has recently been applied to several inference problems in natural language processing (NLP). This tutorial gives an overview of the technique. We describe example algorithms, descr...
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| Other Authors: | , |
| Format: | Article |
| Language: | English |
| Published: |
Association for the Advancement of Artificial Intelligence,
2013-03-12T15:38:53Z.
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| Online Access: | Get fulltext |