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面向语义出版的学术文本词汇语义功能自动识别

程齐凯 李信

数字图书馆论坛Issue(8):24-31,8.
数字图书馆论坛Issue(8):24-31,8.DOI:10.3772/j.issn.1673-2286.2017.08.004

面向语义出版的学术文本词汇语义功能自动识别

Automatic Recognition of Term Function in Academic Text for Semantic Publishing

程齐凯 1李信2

作者信息

  • 1. 武汉大学信息管理学院,武汉430072
  • 2. 武汉大学信息检索与知识挖掘研究所,武汉430072
  • 折叠

摘要

Abstract

To enhance the development of semantic publishing of academic text, it is necessary to do more research on writing/publishing model and academic text understanding. Text understanding is a key technology for the semantic processing of academic text, especially stock academic text. This paper proposes a method for term function identification of academic text based on CRF model and term function analysis framework. Twenty-seven features (such as morphology features, syntax features, and chunk-based features) are employed in the sequence-labeling model. Experimental results show that the method obtains better results than the state of the art.

关键词

词汇功能/语义出版/序列标注/学术文本

Key words

Term Function/Semantic Publishing/Sequence Labeling/Academic Text

分类

社会科学

引用本文复制引用

程齐凯,李信..面向语义出版的学术文本词汇语义功能自动识别[J].数字图书馆论坛,2017,(8):24-31,8.

基金项目

本研究得到中国博士后科学基金项目(编号:2016M602371)和国家自然科学基金青年项目"基于深度语义挖掘的引文推荐多样化研究"(编号:71704137)资助. (编号:2016M602371)

数字图书馆论坛

OACSSCICSTPCD

1673-2286

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