Dependency Model using Posterior Context
Dependency Model using Posterior Context
复制标题
使用后验上下文的依赖模型
DOI：
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
H. Isahara
中科院分区：
文献类型：
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作者：
Kiyotaka Uchimoto;M. Murata;S. Sekine;H. Isahara
我们描述了一种新的依赖结构分析模型。该模型将两个被称为束状语的短语单位之间的关系学习为三个类别：之间、依赖和超越，并通过不仅考虑两个束状语之间的关系而且通过考虑左侧束状语与其右侧所有束状语之间的关系来估计依赖可能性。我们在最大熵模型的基础上实现了该模型。在使用京都大学语料库时，我们的模型的依存准确率为88%，比使用完全相同特征的传统模型高出约1%。
We describe a new model for dependency structure analysis. This model learns the relationship between two phrasal units called bunsetsus as three categories; ‘between’, ‘dependent’, and ‘beyond’, and estimates the dependency likelihood by considering not only the relationship between two bunsetsus but also the relationship between the left bunsetsu and all of the bunsetsus to its right. We implemented this model based on the maximum entropy model. When using the Kyoto University corpus, the dependency accuracy of our model was 88%, which is about 1% higher than that of the conventional model using exactly the same features.