| 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 |
| 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 |
| |
| DOI： |
| 中文关键词: 词汇功能;语义出版;序列标注;学术文本 |
| 英文关键词: Term Function;Semantic Publishing;Sequence Labeling;Academic Text |
| 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. |
|
| 摘要点击次数: 2057 |
| 全文下载次数: 1721 |
| 中文摘要: |
| 为提高学术文献语义出版水平,既需要在写作和出版模式方面进行研究,也需要探索学术文本语义理解技术,以实现对学术文献,特别是存量学术文献的语义化处理.本文在学术文本词汇功能分析框架基础上,提出一种基于条件随机场的学术文献问题和方法识别模型,该模型使用词法特征、句法特征、组块特征等27个特征.实验表明,该方法具有优于当前最佳的识别效果. |
| 英文摘要: |
| 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. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
