Jennifer D'Souza

NLP Should Go Beyond Commonsense Knowledge

NLP technology is all-pervasive for commonsense knowledge. There are many causes for this. Most of the internet and its data is about commonsense knowledge and world events, so NLP technology is developed over the data domain that is most easily available. But what about the scholarly domain with its rapidly growing body of knowledge produced worldwide? These are those specialized domains of knowledge in Science, Technology, Engineering, and Mathematics (STEM), all of which open up countless doors for NLP.

The opportunities are endless!

NLP Contributions Graph: A Call for Participation

In the tipping scale of activities toward the digitalization of scholarly articles, next-generation digital library frameworks such as the Open Research Knowledge Graph, targeting scholarly contributions’ highlights, are already here! We have created the NLPContributionGraph Shared Task that formalizes the building of such a scholarly contributions-focused graph over Natural Language Processing articles as an automated task. If you are eager to build a machine learner, we have the annotated scholarly contributions’ graph data for you—come join us in this endeavor!

#EUvsVirus: Covid-19 Bioassays in the Open Research Knowledge Graph

The #EuVsVirus Pan-European Hackathon was organized as a full remote event coordinated over Slack channels over the weekend of April 24-26. Our team ‘TIB ORKG’ was a team of six people who met online in one of the 500 Slack channels created for the hackathon. We grouped on a common agreement: scholarly articles structured in the ORKG was a great idea to help researchers easily comprehend the articles’ content.