Context-free graph grammars have shown a remarkable ability to model
str...
Deep learning (DL) based semantic segmentation methods have achieved
exc...
This article presents a beta-version of MEWS (Misinformation Early Warni...
On Reddit, individual subreddits are used to organize content and connec...
On the internet, images are no longer static; they have become dynamic
c...
Amidst the threat of digital misinformation, we offer a pilot study rega...
We generalize standard credal set models for imprecise probabilities to
...
In many classification tasks, the ground truth is either noisy or subjec...
Data annotation plays a crucial role in ensuring your named entity
recog...
We introduce and make publicly available an entity linking dataset from
...
Modern deep learning systems like PyTorch and Tensorflow are able to tra...
Forms of human communication are not static — we expect some evolution i...
An enormous amount of real-world data exists in the form of graphs.
Ofte...
Simulating and predicting planetary-scale techno-social systems poses he...
When a group of people strives to understand new information, struggle e...
Social media signals have been successfully used to develop large-scale
...
Popularity systems, like Twitter retweets, Reddit upvotes, and Pinterest...
Recent work in graph models has found that probabilistic hyperedge
repla...
In the age of social news, it is important to understand the types of
re...
Understanding and visualizing human discourse has long being a challengi...
Knowledge Graphs (KGs) have been applied to many tasks including Web sea...
With the large volume of new information created every day, determining ...
Discovering the underlying structures present in large real world graphs...
Information hierarchies are organizational structures that often used to...
Traditional fact checking by experts and analysts cannot keep pace with ...