BASiP: A Novel Architecture for Abstractive Text Summarization

The availability of information and news over the Internet is exploding. In this context, text summarization is becoming very important since it gives a good overview of the content. Also, it saves time by exposing the most significant information at a glance. Summarization techniques are very vital in extracting this useful information from lengthy text. In this work, a novel architecture for abstractive text summarization architecture, BASiP, has been proposed, which effectively generates a summary from the given text. The base model used for summarization is BART. The proposed architecture is compared with the existing work. It is found that BASiP performs well in terms of the ROUGE score. Also, a case study is given at the end to show the efficiency of BASiP, in generating a meaningful summary.