| 书目名称 | Terminology Saturation |
| 副标题 | Detection, Measureme |
| 编辑 | Victoria Kosa,Vadim Ermolayev |
| 视频video | |
| 概述 | Highlights an innovative approach for extracting terminological cores.Presents a formal framework for detecting and measuring terminological saturation.Discusses the potential benefits of the method f |
| 丛书名称 | Cognitive Science and Technology |
| 图书封面 |  |
| 描述 | .This book highlights an innovative approach for extracting terminological cores from subject domain-bounded collections of professional texts. The approach is based on exploiting the phenomenon of terminological saturation. The book presents the formal framework for the method of detecting and measuring terminological saturation as a successive approximation process. It further offers the suite of the algorithms that implement the method in the software and comprehensively evaluates all the aspects of the method and possible input configurations in the experiments on synthetic and real collections of texts in several subject domains. The book demonstrates the use of the developed method and software pipeline in industrial and academic use cases. It also outlines the potential benefits of the method for the adoption in industry.. |
| 出版日期 | Book 2022 |
| 关键词 | Ontology Engineering; Ontology Learning; Automated Term Extraction Methods (ATE); Text Similarity Measu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-16-8630-6 |
| isbn_softcover | 978-981-16-8632-0 |
| isbn_ebook | 978-981-16-8630-6Series ISSN 2195-3988 Series E-ISSN 2195-3996 |
| issn_series | 2195-3988 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
发表于 2025-3-21 18:15:31
