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The document presents the SEARN algorithm for structured prediction, which simplifies the process by reducing it to cost-sensitive classification. It discusses various approaches to structured prediction, the role of search in these methods, and how SEARN learns to make incremental decisions rather than searching through all possible outputs. The algorithm is compared with other structured prediction methods, highlighting its generality and weaker assumptions.

Author

Agree The Disagree

Language

EN