Text summarisation comes under the domain of Natural Language Processing (NLP), which
entails replacing a long, precise and concise text with a shorter, precise and concise one …

The importance of text summarization grows rapidly as the amount of information increases
exponentially. This paper presents a new hybrid summarization technique that combines …

With abundant user data and computing power, using machine learning to automate or
minimize our task has become a recent trend. These resources are useful in providing some …

This paper documents our approach for the Creative-Summ 2022 shared task for Automatic
Summarization of Creative Writing. For this purpose, we develop an automatic …

The information overload faced by today's society poses great challenges to researchers
who want to find a relevant piece of information. Automatic summarisation is a field of …

In this fast moving world, digital publications such as online text articles or documents can
be easily searched and obtained via the Internet. However, the most important issue is how …

Now a days, Text summarization has become important as the amount of text data available
online grows at an exponential rate. Most of the text classification systems require going …

In this age of the Internet, Natural Language Processing (NLP) techniques are the key
sources for providing information required by users. However, with the extensive usage of …

In the task of Indian Language Summarization presented by FIRE 2022, various methods of
text, and summarization has been studied and used by the team TextSumEval. The …

Writing text was one of the first ever methods used by humans to represent their knowledge.
Text can be of different types and have different purposes. Due to the evolution of …