=Paper=
{{Paper
|id=Vol-2482/paper36
|storemode=property
|title=Automated Fact Checking
|pdfUrl=https://ceur-ws.org/Vol-2482/paper36.pdf
|volume=Vol-2482
|authors=Andreas Vlachos
|dblpUrl=https://dblp.org/rec/conf/cikm/Vlachos18
}}
==Automated Fact Checking==
<pdf width="1500px">https://ceur-ws.org/Vol-2482/paper36.pdf</pdf>
<pre>
                                     Automated Fact Checking

                                               Andreas Vlachos
                                Department of Computer Science and Technology
                                           University of Cambridge
                                        andreas.vlachos@cst.cam.ac.uk




                          Abstract
     Fact checking is the task of verifying a claim
     against sources such as knowledge bases and
     text collections. While this task has been
     of great importance for journalism, it has re-
     cently become of interest to the general public
     as it is one of the weapons against misinforma-
     tion. In this talk, I will first discuss the task
     and what should be the expectations from
     automated methods for it. Following this, I
     will present our approach for fact checking
     simple numerical statements which we were
     able to learn without explicitly labelled data.
     Then I will describe how we automated part
     of the manual process of the debunking web-
     site emergent.info, which later evolved into the
     Fake News Challenge with 50 participants. Fi-
     nally, I will present the Fact Extraction and
     Verification shared task, which took place in
     2018.




Copyright © CIKM 2018 for the individual papers by the papers'
authors. Copyright © CIKM 2018 for the volume as a collection
by its editors. This volume and its papers are published under
the Creative Commons License Attribution 4.0 International (CC
BY 4.0).

</pre>