semantic role

1. 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
2. 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
3. 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
4. Compared to verbal predicates, the structure between nominal predicates and their roles in Semantic Role Labeling ( SRL) is more flexible and complex.
   在语义角色标注中，相对于动词性谓词，名词性谓词与其角色之间的结构更灵活和复杂。
5. 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。
6. 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
7. A comparison is made between two semantic role systems in English and one in Chinese, and features of statistic methods are surveyed in a syntactic and semantic view.
   还着重介绍并比较了当前英语两大语义角色体系和汉语角色体系，最后给出了浅层语义分析中统计模型的现有特征集的句法语义分类。
8. 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。
9. 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
10. 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
11. From the three planes of grammar research semantic role is noun composition the role that undertakes in sentence mould structure, it is stipulated mainly by verb.
    从语法研究的一个平面来看，语义角色是名词性成分在句模结构中担当的角色，它主要由动词规定。
12. The greatest contribution of the book lies in that it sets up six systems of grammatical categories: verb tense system, syntactical function system, syntactical mood system, semantic role system, semantic category system and semantic relation system.
    该书最主要的贡献在于建立了六大语法范畴系统：动词时态系统、句子功能系统、句子语气系统、语义角色系统、语义范畴系统以及语义关联系统，这是吕叔湘语法研究的核心思想。
13. The paper also discusses classification of verbs and semantic elements disposed by verbs and de-fines semantic role of germ-verbs one by one.
    本文还讨论了汉语动词的分类及动词支配的语义成分，对动元的语义角色逐一作了说明。
14. 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。
15. 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。
16. 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。
17. Then a relation extraction scheme based on semantic role feature is proposed in this paper which adds semantic role feature into common features.
    因此本文提出了基于语义角色的实体关系抽取方案，该方案在常用特征的基础上新加入了语义角色特征。
18. 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。
19. 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。
20. 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。
21. The main reason is the accuracy of Chinese Base-Chunk parser is relatively low. Finally, we conclude the thesis and summarize some problems in the perspective of the semantic role labeling model and machine learning technology, and provide some directions for further research.
    主要的原因是基本块的标注性能较低。最后，本文从语义角色标注模型的角度和机器学习的角度对研究过程中所遇到的一些问题进行了分析和归纳，指明进一步的研究方向。
22. The predicate-argument relation reveals the semantic role of each argument related to its predicate.
    谓词&论元关系层面则揭示了每个论元相对于谓词的语义角色。
23. 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。
24. Proposed a semantic construction framework for massive text. This framework use Predicate-Argument structure as the core and implements the semantic role labeling of massive text through semantic role induction, Then transform Predicate-Argument structure to deep semantic structure according to their map relationship. 2.
    该框架以谓词-论元结构为核心，通过语义角色归纳实现了对海量文本的语义角色标注，然后根据谓词-论元结构与语义结构之间的映射关系，实现了文本的深层语义构建。
25. 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。
26. Semantic role labeling is a shallow semantic analysis, which labels some words and expressions 'semantic roles for a given verb.
    语义角色标注作为一种浅层语义分析，对句子中一些成分为给定动词谓词的语义角色进行了标注，具有分析任务定义明确、便于评价等优点。
27. 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。
28. The semantic role and syntactic position of the verbal argument can influence the expression of references. 4.
    动词论元的语义角色和句法位置对指称表达有影响。
29. Tree kernel-based semantic role labeling with dependency relation-driven constituent parse tree in Chinese language for nominal predicates.
    研究基于依存树核函数的名词性谓词语义角色标注。
30. As an important step of semantic analysis, semantic role labeling of lexical units is one of the formalized representations of propositional meaning of the sentence.
    句子中词汇的语义角色标注是对句子进行语义分析的一个重要步骤，是句子命题义的形式化表示的一种实现方式。

noun

1. (linguistics) the underlying relation that a constituent has with the main verb in a clause

   Synonym:    participant role