semantic role

On Obligatory Semantic Role in Modern China

现代汉语强制性语义角色论析

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The system integrates the determining 、 Semantic Role Labeling and opinion mining of Chinese comparative sentences.

该系统集汉语比较句的识别、语义角色标注与比较观点挖掘于一体。

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Current Chinese semantic role labeling mainly focuses on using phrase structure trees.

现有中文语义角色标注主要集中在基于短语结构句法树的标注.

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Semantic Role Labeling is a shallow semantic parsing method.

语义角色标注是一种浅层语义分析的方法.

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First, analyzes semantic roles, which is the core element of the inner-sentence semantic knowledge database by its fineness hierarchy, number setting and classification, and put forward an evaluation criterion for semantic role system.

首先对句内语义知识库的核心要素&语义角色做了详细分析，讨论了语义角色精细等级、数量设置和分类等内容，提出语义角色体系的评价标准。

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The Classification and Characteristic of The Implicative Semantic Role

义位中隐含语义角色的分类及特征

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The first stage is to verify the information of all word sense on the Semantic Role Labeling.

第一阶段是验证全词词义信息对语义角色标注的影响。

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Experimental results also show that CRF model has better performance and semantic role is a good indicator for event argument extraction.

实验表明，条件随机场模型在事件论元角色抽取方面有较好的表现，且新提出的语义角色特征具有很好的指示作用。

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Semantic role complexity of subject in ba sentences reflects the inconsistency between the semantic role and the argument of the sentence.

把字句主语语义角色的复杂性反映了动词的语义角色与句式的论元不一致。

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Chinese Semantic Role Labeling Based on Semantic Chunking

基于语义组块分析的汉语语义角色标注

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Semantic relations consist of semantic argument categories, semantic role categories, and semantic association categories.

语义关系范畴包括语义论元范畴、语义角色范畴和语义关联范畴。

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Semantic Role Labeling Based on Conditional Random Fields Model

基于线性链条件随机场模型的语义角色标注

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Research on Feature-based Semantic Role Labeling for English and Chinese

基于特征向量的中英文语义角色标注研究

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Through semantic role labeling, shallow semantic information could be obtained, which corresponds to deep semantic concept.

通过语义角色标注，我们可以获取浅层语义信息。所谓浅层语义信息，是与概念深层语义相对而言的。

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Spatial Concept Extraction Based on Spatial Semantic Role in Natural Language

基于空间语义角色的自然语言空间概念提取

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Research Progress of Chinese FN Semantic Role Labeling

汉语框架语义角色的自动标注研究进展

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Semantic role labeling is very important as it is a bridge between syntactic and semantic.

语义角色标注在句法和语义之间架起了一座桥梁，是进行自然语言理解的基础性工作，具有很重要的意义。

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The semantic role of instrument can be the subject in the middle clause of a causative verb.

工具语义角色可以在使役动词的中动语态语句中作主语。

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Question query focus based on SVM semantic role labeling

基于SVM的疑问句问点语义角色标注

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Semantic Role Labeling with Maximum Entropy Classifier

基于最大熵分类器的语义角色标注

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The system takes Wutai Mountain for example, labels full-text frame semantic role to each introduction of scenic spots.

系统以旅游景点五台山为例，针对每个景点的简介文本进行了全文框架语义角色标注。

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On the base of the analyses, it comes to a conclusion that which semantic type "xiaoxin NP" imperative sentence conveys depends on the semantic role that NP acts and the semantic feature of NP.

在此基础上论文认为小心NP取什么语义类型取决于NP在其所在的论元结构中所扮演的语义角色及NP的语义特征。

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Research on Chinese Semantic Role Labeling Method for 3D Scene Generation

面向三维场景生成的中文语义角色标注方法研究

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The second stage is to joint the Word Sense Disambiguation and Semantic Role Labeling with Markov Logic Networks based on that all word sense is useful for Semantic Role Labeling, and analyze the experimental results.

第二阶段是如果全词词义信息对语义角色标注有帮助，我们通过马尔可夫逻辑网络将全词词义消歧与语义角色标注进行融合，将级联方式和融合方式的实验结果对比，进行分析。

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The Semantic Role of One-syllabic Verbs in Discussions about Salt and Iron

《盐铁论》单音节动词的语义角色

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Feature Engineering for Chinese Semantic Role Labeling

中文语义角色标注的特征工程

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Ideal experimental results were obtained. Finally, Effective features of semantic Role Labeling of Questions were analyzed according to the experimental results, and the difference between question and declarative sentence was discussed.

通过实验获得了较为理想的效果。最后，通过实验结果分析了问句语义角色标注的有效特征，对比了问句与陈述句标注的不同之处。

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Research on Chinese Question Answering System Based on Semantic Role Labeling

基于语义角色标注的中文问答系统研究

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Semantic role labeling ( SRL) is one of representative tasks.

语义角色标注便是其中很有代表性的一个方向。

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