Call for papers: Fact Extraction and VERification workshop at EMNLP-IJCNLP 2019
Motivation
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.
Last year, in an effort to jointly address both problems, we organised the first workshop on Fact Extraction and VERification (FEVER) at EMNLP 2018. For the second workshop, in addition to extracting facts and verifying them, we would also like to focus on adversarial learning by generating adversarial examples that fool these systems. The FEVER 2.0 Shared Task will build upon work from the first shared task in a Build it Break it Fix it setting.
The workshop will consist of oral and poster presentation of submitted papers including papers from the shared task participants, panel discussions and presentations by the following invited speakers:
- Mevan Babakar (Full Fact)
- Hoifung Poon (Microsoft Research)
- Sameer Singh (University of California, Irvine)
- William Wang (University of California, Santa Barbara)
- Emine Yilmaz (University College London)
Submissions
We invite long and short papers on all topics related to fact extraction and verification, including:
- Information Extraction
- Semantic Parsing
- Knowledge Base Population
- Natural Language Inference
- Textual Entailment Recognition
- Argumentation Mining
- Machine Reading and Comprehension
- Claim Validation/Fact checking
- Question Answering
- Theorem Proving
- Stance detection
- Adversarial learning
- Computational journalism
- System demonstrations on the FEVER 2.0 Shared Task
Long/short papers should consist of eight/four pages of content plus unlimited pages for bibliography. Submissions must be in PDF format, anonymized for review, and follow the EMNLP 2019 two-column format, using the LaTeX style files or Word templates to be provided on the official EMNLP-IJCNLP 2019 website.
Papers can be submitted as non-archival, so that their content can be reused for other venues. Add "(NON-ARCHIVAL)" to the title of the submission. Non-archival papers will be linked from the workshop webpage.
Authors can also submit extended abstracts of up to eight pages of content. Add "(EXTENDED ABSTRACT)" to the title of an extended abstract submission. Extended abstracts will be presented as talks or posters if selected by the program committee, but not included in the proceedings. Thus, your work will retain the status of being unpublished and later submission at another venue is not precluded.
Previously published work can also be submitted as an extended abstract in the same way, with the additional requirement to state on the first page the original publication.
Softconf submission link: https://www.softconf.com/emnlp2019/ws-FEVER/
FEVER Shared task
For more information on the shared task please visit the following page: Shared Task.
Important dates
- First call for papers: 10 May 2019
- Second call for papers: 14 June 2019
- Submission deadline: 19 August 2019
- Notification of acceptance: 16 September 2019
- Camera-ready deadline: 30 September 2019
- Workshop: 3/4 November (EMNLP-IJCNLP)
All deadlines are calculated at 11:59pm Pacific Daylight Savings Time (UTC -7h).
Organizers
- Christos Christodoulopoulos (Amazon Research Cambridge)
- Oana Cocarascu (Imperial College London)
- Arpit Mittal (Amazon Research Cambridge)
- James Thorne (University of Cambridge)
- Andreas Vlachos (University of Cambridge)
Contact us at fever-organisers-2019 [at] googlegroups.com or on Slack.