The extraction of information from large scientific papers and literature can be challenging and time consuming. Our project proposes an app that utilizes NLP to extract important information from these types of literature. This app serves as a second brain for practitioners and researchers, allowing them to extract information from the vast corpus of literature when needed.
Our objective is to utilize NLP models to enhance the user experience of the app as they search for relevant information from scientific papers. And Build a summarization tool that helps them to quickly understand the points of the articles, improving their overall productivity.
The results obtained with our main summarization model were evaluated in the taining using ROUGE metric during training and using BARTScore for evaluation.
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