基于条件随机场的领域相关分词

2007 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing Pub Date : 2007-09-24 DOI:10.1109/PACRIM.2007.4313226

T. Fukuda, M. Izumi, T. Miura

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引用次数: 0

摘要

在本研究中，我们提出了一种基于领域依赖的日语分词实验方法。我们将条件随机场(CRF)应用于我们的问题。CRF从具有依赖于域的特定特征函数的训练数据中学习几个概率参数。在这里，我们提出了如何定义特定于领域的特征函数。

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Domain Dependent Word Segmentation Based on Conditional Random Fields

In this investigation, we propose an experimental approach for word segmentation in Japanese under domain-dependent situation. We apply Conditional Random Fields (CRF) to our issue. CRF learns several probabilistic parameters from training data with specific feature functions dependent on domains. Here we propose how to define domain specific feature functions.

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来源期刊

2007 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing

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