Graph Neural Network and NER-Based Text Summarization

Understand

With the abundance of data and information in todays time, it is nearly impossible for man, or, even machine, to go through all of the data line by line.

• What one usually does is to try to skim through the lines and retain the absolutely important information, that in a more formal term is called summarization.
• Text summarization is an important task that aims to compress lengthy documents or articles into shorter, coherent representations while preserving the core information and meaning.
• This project introduces an innovative approach to text summarization, leveraging the capabilities of Graph Neural Networks (GNNs) and Named Entity Recognition (NER) systems.