This paper contains a large literature review in the research field of Text Summarisation (TS)
based on Human Language Technologies (HLT). TS helps users manage the vast amount …

Abstract Evaluation is crucial in the research and development of automatic summarization
applications, in order to determine the appropriateness of a summary based on different …

Textual information in the form of digital documents quickly accumulates to create huge
amounts of data. The majority of these documents are unstructured: it is unrestricted text and …

This work proposes an approach to address the problem of improving content selection in
automatic text summarization by using some statistical tools. This approach is a trainable …

This work proposes an approach that uses statistical tools to improve content selection in
multi-document automatic text summarization. The method uses a trainable summarizer …

This work proposes an approach to address automatic text summarization. This approach is
a trainable summarizer, which takes into account several features, including sentence …

Automated summaries help tackle the ever growing volume of information floating around.
There are two broad categories: extract and abstract. In the former we retain the more …

We explore to what extent knowledge about the pre-trained language model that is used is
beneficial for the task of abstractive summarization. To this end, we experiment with …

With the problem of increased web resources and the huge amount of information available,
the necessity of having automatic summarization systems appeared. Since summarization is …

Summaries or abstracts available with medical articles are useful for the physicians, medical
students and patients to know rapidly what is the article about and decide whether articles …