航空航天科技文本语义角色标注系统的开发

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2022-12-06 DOI:10.3103/S0005105522050077

Ju. I. Butenko, M. L. Galetka, E. E. Sineva

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引用次数: 0

摘要

研究了自然语言处理系统中的自动语义分析问题。结果表明，注释语义角色是一种很有前途的分析方法，它包括识别每个句子中的谓语论证结构。描述了一个用于标记俄语文本中语义角色的程序，并在航空航天文本的例子上标记了2000个词汇单元。形成了航空航天领域特有的语义角色库。提出了知识库中框架语义方法和本体论框架组织方法，作为组织标注语义角色的知识表示模型。

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Developing a Semantic Role Labeling System in Scientific and Technical Texts on Aviation and Astronautics

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Developing a Semantic Role Labeling System in Scientific and Technical Texts on Aviation and Astronautics

The problem of automatic semantic analysis in natural language processing systems is considered. It is shown that annotating semantic roles is a promising method of analysis, which consists in the recognition of predicate-argument structures in each sentence. A program developed for marking semantic roles in Russian texts is described, and 2000 lexical units are marked on the examples of texts on aviation and astronautics. The unique inventory of semantic roles for aerospace domain is formed. Frame semantics method and ontological approach to frame organization in knowledge base are offered as a model of knowledge representation to organize labeled semantic roles.

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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

发文量

期刊介绍： Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.