Description of Streptomyces naphthomycinicus sp. nov., an endophytic actinobacterium producing naphthomycin A and its genome insight for discovering bioactive compounds
Description of Streptomyces naphthomycinicus sp. nov., an endophytic actinobacterium producing naphthomycin A and its genome insight for discovering bioactive compounds
Author
Kaewkla O., Perkins M., Thamchaipenet A., Saijuntha W., Sukpanoa S., Suriyachadkun C., Chamroensaksri N., Chumroenphat T., Franco C.M.M.
Affiliations
Language and Semantic Technology Laboratory, National Electronics and Computer Technology Center12120, Thailand; Faculty of Engineering, Thammasat School of Engineering, Thammasat University12120, Thailand; Promes Co. Ltd., Backyard Group10120, Thailand; PTT Digital Solutions Company Limited10900, Thailand; Institute of Computing Technology, Chinese Academy of Sciences100190, China; University of Chinese Academy of Sciences101408, China
Type
Article
Source Title
Journal of Information and Communication Convergence Engineering
ISSN
22348255
Year
2024
Volume
22
Issue
1
Page
33-43
Open Access
All Open Access, Hybrid Gold
Publisher
Korea Institute of Information and Communication Engineering
DOI
10.56977/jicce.2024.22.1.33
Abstract
Automated text summarization (ATS) systems rely on language resources as datasets. However, creating these datasets is a complex and labor-intensive task requiring linguists to extensively annotate the data. Consequently, certain public datasets for ATS, particularly in languages such as Thai, are not as readily available as those for the more popular languages. The primary objective of the ATS approach is to condense large volumes of text into shorter summaries, thereby reducing the time required to extract information from extensive textual data. Owing to the challenges involved in preparing language resources, publicly accessible datasets for Thai ATS are relatively scarce compared to those for widely used languages. The goal is to produce concise summaries and accelerate the information extraction process using vast amounts of textual input. This study introduced ThEconSum, an ATS architecture specifically designed for Thai language, using economy-related data. An evaluation of this research revealed the significant remaining tasks and limitations of the Thai language. ? (2024), (Korea Institute of Information and Communication Engineering). All Rights Reserved.
