Despite remarkable advances in the development of language resources over the recent
years, there is still a shortage of annotated, publicly available corpora covering (German) …

There is a pressing need for the automated extraction of chemical reaction information
because of the rapid growth of scientific documents. The previously reported works in the …

Alloy synthesis and processing determine the design of alloys with desired microstructure
and properties. However, using data science to identify optimal synthesis-design routes from …

Accurately ty** entity mentions from text segments is a fundamental task for various
natural language processing applications. Many previous approaches rely on massive …

In this study, we developed a natural language processing model for extracting information
solely from the abstracts of literature on superconducting materials, with the aim of making …

This dissertation investigates critical aspects of extending and ensuring reliability in large
foundation models across multiple domains. Through five comprehensive chapters, we first …

Polymers are widely used in diverse fields, and the demand for efficient methods to extract
and organize information about them is increasing. An automated approach that utilizes …

围绕实验规程数据化研究与建设趋势, 充分结合当前科研活动对实验规程的需求特征,
重新定义实验规程并明确界定试验规程数据化. 在此基础上, 综合分析当前103 …