With the rise of the Internet, we now have a lot of information at our disposal. We are
swamped from many sources-news, social media, to name a few, office emails. This paper …

The presence of near duplicate textual content imposes great challenges while extracting
information from it. To handle these challenges, detection of near duplicates is a prime …

The score given for short answers may vary from instructor to instructor. There are many
short answer grading and essay grading systems existing that are either automated or semi …

Extracting and concatenating distilled content from a corpus into a summary is a technique
known as extractive summarization. In recent days, extractive summarization of web text has …

The global spread and use of remote and online learning systems at various educational
levels puts forward a number of requirements for existing systems and needs for expansion …

The information has grown at a rapid pace in the recent past. The overwhelming amount of
data available may be a lot for the consumers to absorb and retain. Various methods have …

Large amount of information in the form of text data is available to us which is acquired from
various sources and stored properly for future use. There is an urgent need of finding a way …

In natural language processing the use of deep learning techniques is very common. In this
paper, a technique to identify the subject and predicate in a sentence is introduced. To …

The amount of information available on the internet is increasing at a rapid pace. As a result,
it is critical that we may quickly and readily get the information we want without having to go …

This paper proposes the comparison between three text summarization models-BERT,
BART and T5. All the three models focus on summarizing a single research paper for …