Search in collections of digitised historical documents is hindered by a...
In education, open-ended quiz questions have become an important tool fo...
We propose a novel framework for predicting the factuality of reporting ...
We propose EXAMS – a new benchmark dataset for cross-lingual and
multili...
While misinformation and disinformation have been thriving in social med...
Detecting the user's intent and finding the corresponding slots among th...
In the context of investigative journalism, we address the problem of
au...
We study the problem of finding fake online news. This is an important
p...
We address the problem of predicting the leading political ideology, i.e...
We present work on deception detection, where, given a spoken claim, we ...
The recent explosion of false claims in social media and on the Web in
g...
Online media aim for reaching ever bigger audience and for attracting ev...
Recently, reading comprehension models achieved near-human performance o...
We present a supervised approach for style change detection, which aims ...
Recent advances in deep neural networks, language modeling and language
...
Recent years have seen growing interest in conversational agents, such a...
It is completely amazing! Fake news and click-baits have totally invaded...
We describe the system that our FMI@SU student's team built for particip...
We propose to use question answering (QA) data from Web forums to train
...
Given the constantly growing proliferation of false claims online in rec...
We transfer a key idea from the field of sentiment analysis to a new dom...
Users posting online expect to remain anonymous unless they have logged ...