A name entity (NE) is a proper name that designates a person, location, or organization. For
humans, named entity recognition (NER) is a straightforward process insofar as many …

Information extraction (IE) is a challenging task, particularly when dealing with highly
heterogeneous data. State-of-the-art data mining technologies struggle to process …

Geological reports are frequently used by geologists involved in geological surveys and
scientific research to record the results and outcomes of geological surveys. With such a rich …

The high-speed railway is a deeply coupled system with strong and weak electrical
equipment, while complex electromagnetic interference (EMI) consequently brings potential …

Recently, the significance of accurate aircraft delay forecasting has grown in the aviation
sector, which caused multi-billion-dollar losses faced by airlines and airports and passenger …

Public institutions, such as law enforcement agencies or health centers, have a vast volume
of unstructured text documents, eg police reports. Currently, before this data can be shared …

Unlike existing models that aim to address the challenge of scene text detection and
recognition separately, the proposed work aims to address both text detection and …

Abstract Summary obfuscation is a type of idea plagiarism where a summary of a text
document is inserted into another text document so that it is more difficult to detect with …

News articles are usually written by journalists based on statements taken from interviews
with public figures. Attribution from such statements provides important information and it …

In the process of Chinese rice variety information named entity recognition, traditional
methods cannot extract potential semantic information from data and cannot capture long …