With billions of individual pages on the web providing information on almost every conceivable topic, we should have the ability to collect facts that answer almost every conceivable question. However, only a small fraction of this information is contained in structured sources (Wikidata, Freebase, etc.) – we are therefore limited by our ability to transform free-form text to structured knowledge. There is, however, another problem that has become the focus of a lot of recent research and media coverage: false information coming from unreliable sources.  
The FEVER workshops are a venue for work in verifiable knowledge extraction and to stimulate progress in this direction.
In order to bring together researchers working on the various tasks related to fact extraction and verification, we will host a workshop welcoming submissions on related topics such as recognizing textual entailment, question answering and argumentation mining.
We will be hosting a new shared task with a new dataset for 2021. Details to be announced!
Approximate timeline is as follows:
All deadlines are calculated at 11:59pm Anywhere on Earth (UTC-12).
Join the Slack Group for chat and updates: https://fever2018.slack.com.
Data can be downloaded and submissions evaluated on the Codalab competition page https://competitions.codalab.org/competitions/18814.
The shared task guidelines are available on the task page.
We will open the blind test set for scoring in July and accept system description papers on Softconf for the workshop at EMNLP2018. More details to follow soon.
The softconf submission page for Shared Task system descriptions and workshop papers is https://www.softconf.com/emnlp2018/FEVER.