The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Mining Scientific and Technical Literature: From Knowledge Extraction to Summarization
|
|
Author(s): Junsheng Zhang (Institute of Scientific and Technical Information of China, China)and Wen Zeng (Institute of Scientific and Technical Information of China, China)
Copyright: 2020
Pages: 27
Source title:
Trends and Applications of Text Summarization Techniques
Source Author(s)/Editor(s): Alessandro Fiori (Candiolo Cancer Institute – FPO, IRCCS, Italy)
DOI: 10.4018/978-1-5225-9373-7.ch003
Purchase
|
Abstract
In this chapter, the authors study text mining technologies such as knowledge extraction and summarization on scientific and technical literature. First, they analyze the needs of scientific information services and intelligence analysis on massive scientific and technical literature. Second, terminology recognition and relation extraction are important tasks of knowledge extraction. Third, they study knowledge extraction based on terminology recognition and relation extraction. Fourth, based on terminology and relational network, they study the text summarization techniques and applications. Last, they give comments on current research and applications on text summarization and give their viewpoints for the possible research directions in the future.
Related Content
|
.
© 2023.
34 pages.
|
|
.
© 2023.
15 pages.
|
|
.
© 2023.
15 pages.
|
|
.
© 2023.
18 pages.
|
|
.
© 2023.
24 pages.
|
|
.
© 2023.
32 pages.
|
|
.
© 2023.
21 pages.
|
|
|