Automatic Text Summaration of COVID-19 Scientific Research Topics Using
Pre-trained Model from HuggingFace®
Abstract
By identifying and extracting relevant information from articles,
automated text summarizing helps the scientific and medical sectors.
Automatic text summarization is a way of compressing text documents so
that users may find important information in the original text in less
time. We will first review some new works in the field of summarizing
that use deep learning approaches, and then we will explain the
“COVID-19” summarization research papers. The ease with which a reader
can grasp written text is referred to as the readability test. The
substance of text determines its readability in natural language
processing. We constructed word clouds using the abstract’s most
commonly used text. By looking at those three measurements, we can
determine the mean of “ROUGE-1”, “ROUGE-2”, and “ROUGE-L”. As a
consequence, “Distilbart-mnli-12-6” and “GPT2-large” are outperform
than other.