CSSE490-NLP Webapp; leverages existing models to make paper-reading easier
It is often the case that when an NLP student/researcher/enthusiast is embarking on learning about a given topic, they will try to find many papers and get a broad perspective of the best ideas surrounding the topic. But with the average length of the main text for most publications reaching 8-10 pages, it can be time-consuming to go through an entire paper, or even a waste of time if the paper’s key claims are poorly founded. To address this, we propose a web app that takes a link to the pdf of the desired paper and provides a few-sentence summary of the key claims and results.
Ganesh Gajavelli and Rachel Harness
Thank you Eric Chen for your help in debugging the deployment to Heroku :)