An implementation of the electromagnetic Particle in Cell loop in the co...
Abusive language on online platforms is a major societal problem, often
...
Most work in machine reading focuses on question answering problems wher...
Latent factor models are increasingly popular for modeling multi-relatio...
In statistical relational learning, knowledge graph completion deals wit...
In this paper, we introduce the task of targeted aspect-based sentiment
...
In statistical relational learning, the link prediction problem is key t...
Embedding-based Knowledge Base Completion models have so far mostly comb...
Stochastic Gradient Descent (SGD) is one of the most widely used techniq...
We introduce the Variational Holder (VH) bound as an alternative to
Vari...
CMF is a technique for simultaneously learning low-rank representations ...
Most current sampling algorithms for high-dimensional distributions are ...