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Description: Hieu Xuan Phan & Minh Le Nguyen 利用CRF统计模型写的可用于英文命名实体识别、英文分词的工具（开放源码）。CRF模型最早由Lafferty提出，全名conditional random fields，该模型后来被广泛地应用在语言和图像处理领域，并随之出现了很多的变体。FlexCRF就是对CRF模型的一个实现应用工具，可用于文本信息处理-Hieu Xuan Phan
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Size: 2110464 |
Author: 陈晶 |
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Size: 266240 |
Author: fancyiyang |
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Description: CRF的入门必读经典介绍文章，可以使读者以最快的速度了解CRF的原理。-CRF entry must-read classic introductory articles, will enable readers to understand the fastest speed in the principle of CRF.
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Size: 92160 |
Author: 安安 |
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Description: CRF经典文档, 详细介绍了CRF的原理以及算法, 以供大家参考-classical text of CRF
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Size: 154624 |
Author: calvin |
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Description: CRFsuite: a fast implementation of Conditional Random Fields (CRFs)
CRFSuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. The first priority of this software is to train and use CRF models as fast as possible even at the expense of its memory space and code generality. CRFsuite runs 5.4 - 61.8 times faster than C++ implementations for training. CRFsuite supports parameter estimation with L1 regularization (Laplacian prior) using Orthant-Wise Limited-memory Quasi-Newton (OW-LQN) method and L2 regularization (Gaussian prior) using Limited-memory BFGS (L-BFGS) method.,CRFsuite: a fast implementation of Conditional Random Fields (CRFs)
CRFSuite is an implementation of Conditional Random Fields (CRFs) for labeling sequential data. The first priority of this software is to train and use CRF models as fast as possible even at the expense of its memory space and code generality. CRFsuite runs 5.4- 61.8 times faster than C++ implementations for training. CRFsuite supports parameter estimation with L1 regularization (Laplacian prior) using Orthant-Wise Limited-memory Quasi-Newton (OW-LQN) method and L2 regularization (Gaussian prior) using Limited-memory BFGS (L-BFGS) method.
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Size: 1804288 |
Author: icypriest |
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