We present the Multi-Modal Discussion Transformer (mDT), a novel multi-m...
Towards better explainability in the field of information retrieval, we
...
Our work advances an approach for predicting hate speech in social media...
We propose a system to predict harmful discussions on social media platf...
A core issue in federated reinforcement learning is defining how to aggr...
We propose GRS: an unsupervised approach to sentence simplification that...
The Coronavirus pandemic created a global crisis that prompted immediate...
Functional Dependencies (FDs) define attribute relationships based on
sy...
Real-time data analytics systems such as SAP HANA, MemSQL, and IBM Wildf...
Order dependencies (ODs) capture relationships between ordered domains o...
We present a novel iterative, edit-based approach to unsupervised senten...
Much real-world data come with explicitly defined domain orders; e.g.,
l...
The increasing amount of personal data is raising serious issues in the
...
Performance and scalability are a major concern for blockchain systems t...
A number of extensions to the classical notion of functional dependencie...
We analyze the problem of discovering dependencies from distributed big ...
Blockchain technologies are expected to make a significant impact on a
v...