*Extracting facts from an article *Project made during WittyHacks 2.0 (secured 3rd position). *Developed an web application that can extract important facts from any content page. *It uses NLP pipelining to divide the problem into following : tokenization, predicting parts of speech, lemmatization, dependency parsing, named entity recognition for extracting the facts.