We invite you to join us at the 1st SciNLP workshop at AKBC 2020. The workshop will be held virtually on June 25th from 8AM - 1PM (UTC-7).
Registration is open online!
See our website for full details.
Workshop Theme
The primary goal of this half-day workshop is to bring together researchers from diverse fields who are interested in extracting and representing knowledge from scientific text, and/or applications or methods for improving access to and understanding of such knowledge. Such research includes, but is not limited to:
- Methods for extracting and representing knowledge from scientific text
- Applications of these methods to improving scientific knowledge discovery and/or understanding,
- Fairness (e.g. augmented or assistive paper reading, concept simplification, scientific education and literacy),
- Science of science studies, and
- Datasets, Resources and Tools
Invited Speakers
- Asma Ben Abacha, National Library of Medicine
- Doug Downey, Allen Institute for AI
- David Jurgens, University of Michigan
- Ryan McDonald, Google Research
- Vivi Nastase, University of Stuttgart
- Hoifung Poon, Microsoft Research
- Iris Shen, Microsoft Research
- Robert Stojnic, PapersWithCode
- Byron Wallace, Northeastern University
Panel Discussion / Q&A: The role of scientific NLP during an epidemic
In light of the activity from the computing community to help with the current virus epidemic, we felt it important to hold a panel discussion on the role of NLP and text mining over scientific text (in particular biomedical literature).
- What are useful short/long-term endeavors?
- What are we doing that isn’t helpful?
- How can we best connect and collaborate with domain experts?
- What are challenges that prevent us from being helpful?
We’ve invited a few of our speakers to share their thoughts and answer questions. We will be curating questions from the audience beforehand (as well as live during the discussion).