In the era of social networks, the rapid growth of data mining in information retrieval and
natural language processing makes automatic text summarization necessary. Currently …

Text summarisation is one of the essential topics in natural language processing. Pre-
trained language models, especially BERT and GPT, are the most advanced methods for …

Siamese network has obtained growing attention in real-life applications. In this survey, we
present an comprehensive review on Siamese network from the aspects of methodologies …

Text document analysis has recently emerged as a promising strategy in content
summarization domain. The analysis can be carried out in two stages: Text abstraction, the …

Text summarization is essential in this fast-growing world to read the information because a
vast amount of information holds various definitions among related contents. Due to this …

Financial news summarization (FNS) has been an attractive research problem in recent
years, which aims to generate a shorter highlight of the news article while preserving key …

Automatic text summarization is to obtain a summary by compressing the text while retaining
its important information. Then users can obtain the important content of the text by reading …

In this article, recent key research on abstractive text summarization is reviewed. Text
summarization is a mechanism of generating a brief, accurate, and precise summary of a …

Electronic documents contain tremendous amounts of information. A text summary system is
needed to save time and rapidly know about the document, because the manual text …

This paper presents the results of the Data Science for Digital Health (DS4DH) group in the
MEDIQA-Chat Tasks at ACL-ClinicalNLP 2023. Our study combines the power of a classical …