科技文献中文术语识别与语义分析初探

Wen Zeng, Junsheng Zhang, Yunliang Zhang
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引用次数: 1

摘要

面对时代的发展和技术的进步,需要新的方法和技术来丰富科技文献的语义分析。术语是专业知识中概念的语言表达,是在特定领域的逐步探索和研究中积累起来的。在语义分析研究中,术语识别是一个重要的研究课题。本研究旨在将深度神经网络应用于术语识别。本文还介绍了基于中文术语识别结果的语义分析的具体方法,并利用具体的科技文献进行了实现。概述了该方法的相关理论和技术,并使用真实有效的语料库进行了实验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploration on Chinese Term Recognition and Semantic Analysis of Scientific & Technical Literature
Facing the development of the times and technological progress needs new methods and technologies to enrich semantic analysis of scientific & technical literature. Term is the linguistic expression of the concepts in professional knowledge, which is accumulated through incremental exploration and research in specific fields. In the study of semantic analysis, term recognition is an important research subject. This research intended to apply deep neural network in term recognition. And the paper also introduced specific methods of semantic analysis based on the result of Chinese term recognition and implementation using specific scientific & technical literature. It gave an overview of theories and technologies related to the method and used the real and effective corpus for experiments.
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