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- W2104917081 abstract "This paper describes an incremental parsing approach where parameters are estimated using a variant of the perceptron algorithm. A beam-search algorithm is used during both training and decoding phases of the method. The perceptron approach was implemented with the same feature set as that of an existing generative model (Roark, 2001a), and experimental results show that it gives competitive performance to the generative model on parsing the Penn treebank. We demonstrate that training a perceptron model to combine with the generative model during search provides a 2.1 percent F-measure improvement over the generative model alone, to 88.8 percent." @default.
- W2104917081 created "2016-06-24" @default.
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- W2104917081 date "2004-01-01" @default.
- W2104917081 modified "2023-10-07" @default.
- W2104917081 title "Incremental parsing with the perceptron algorithm" @default.
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- W2104917081 doi "https://doi.org/10.3115/1218955.1218970" @default.
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