semantic dependency

Sentence Understanding modeling based on semantic dependency Relationships

基于语义依存关系的句子理解模型

The semantic analysis system can automatically tag semantic class for each word and analyze the semantic dependency structure between words with the precision of 90.85% and 75.84% respectively.

该语义分析集成系统能够自动分析句子中各个词的词义以及词之间的语义依存关系，达到90.85%的词义标注正确率和75.84%的语义依存结构标注正确率。

Some enhance technologies such as the improvement of the acoustic recognition speed, the compensation of the telephone channel effect, the tolerance of language model and the understanding model based on semantic dependency relations are discussed in detail.

较详细地介绍了声学层识别的速度优化和电话信道补偿问题，以及语言模型的容错算法和基于语义依存关系的容错理解模型，并对系统各层次模块性能进行了实验测试。

The algorithm eliminates the R/ W semantic dependency through maintaining multiversions of low level data.

算法通过保留低安全级数据的多个版本，消除了多级事务的先读后写语义依赖。

The parser was trained and evaluated on a 1M-word-scale corpus annotated with semantic dependency, Semantic Dependency Net ( SDN).

语义分析器在1百万词的标有语义依存关系的语料库（语义依存网络语料库，SDN）上训练并测试，文中设计、实现了多个实验以分析语义分析器的性能。

On context level, complatible use of syntactic and semantic information, to obtain the dependency relations between different components based on Dependency Grammar.

一级是上下文级，将语法、语义和语境信息一体化，结合依存语法确定汉语句子中各成分间的依存关系。

Influences of Motivation on the Three Stages of Second Language Learning; On Construction of a Chinese Corpus Based on Semantic Dependency Relations

二语习得动机因素与语料输入语料处理及语言生成间的关系基于语义依存关系的汉语语料库的构建

On Construction of a Chinese Corpus Based on Semantic Dependency Relations

基于语义依存关系的汉语语料库的构建

In this paper, after a feature-based business component model is proposed, structural and semantic dependency relationships between components are deeply researched.

在提出基于特征的业务构件模型之后，研究构件之间存在的结构和语义依赖关系，并分析了构件组织方式与建模效率之间关系。

Experiments show that named entity recognition, semantic dependency relations and case-based rule perform very well in answer ex-traction.

实验表明：命名实体识别、语义依存关系和案例规则模板能有效地实现答案抽取，获得较高正确率。