Daume and Marcu 2005 Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction
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Learning as Search Optimization: Approximate Large Margin Methods for Structured Prediction An alternative formal analysis of Searn.
Summary
The authors present the Learning as Search Optimization (LaSO) framework. The algorithm is basically SEARN but analyzed differently (and also ~24 pages shorter).
Like SEARN, LaSO attempts to combine the learning of the model with the search that occurs during decoding.
Method
Experimental Result
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