With the development of pre-trained language models and large-scale datasets, automatic
text summarization has attracted much attention from the community of natural language …

A scientific framework that can effectively forecast enterprise financing risks can both
promote enterprise management and reduce the cost of risk for financial institutions. This …

People generally turn to websites such as Yelp to find reviews for the food/restaurant before
trying it first-hand. However, some reviews are so long and ambiguous that users get …

Nowadays, several automatic text summarization (ATS) methods have been proposed for
resource-rich languages, such as English, Chinese. However, resource-limited languages …

Data generated from social networking sites, blogs, digital magazines, and news websites is
the largest human-generated data. Summarization is the process of extracting the crux of a …

Morality is a topic that people are increasingly concerned about. Morality is observed and
measured during public acts or when developing and consuming products, such as movies …

A global and local information extraction model incorporating selection mechanism is
presented to address the concerns of insufficient semantic coding and redundant semantic …

Text summarization is an important Natural Language Processing problem. Manual text
summarization is a laborious and time-consuming task. Owing to the advancements in the …

Automatic Text Summarization (ATS) is gaining attention because a large volume of data is
being generated at an exponential rate. Due to easy internet availability globally, a large …

Netizens all over the world can search malicious websites by malicious long-tail keywords
on search engines, but malicious websites are strictly prohibited by law in most countries, so …