Learning to Read for Automated Fact Checking
Join this Datalab Meetup Special Edition feat. tenure-track Assistant Professor at the IT University of Copenhagen, Isabelle Augenstein. The key issue will be:
How can natural language processing methods fill this gap and help to automatically check facts?
- 14.00-14.15 – Datalab news, cake and coffee
- 14.15-15.00 – Talk by Isabelle Augenstein
- 15.00-15.15 – Q&A
- 15.15-16.00 – More talk and network for those who haven’t had enough
About the talk
Spreading of mis- and disinformation is growing and is having a big impact on interpersonal communications, politics and even science. Traditional methods, e.g. manual fact-checking by reporters cannot keep up with the growth of information. On the other hand, there has been much progress in natural language processing recently, partly due to the resurgence of neural methods.
At this Datalab Meetup we’ll explore different ways to frame fact checking and detail our ongoing work on learning to encode documents for automated fact checking, as well as describe future challenges.
Everyone can come and join this talk. Are you from another company or organisation outside of Aarhus University, you should sign up for the event.
Then we can make sure to put enough coffee on.