The success of deep neural networks requires both high annotation qualit...
For the intersection of the Stiefel manifold and the set of nonnegative
...
We introduce Knowledge-Driven Program Synthesis (KDPS) as a variant of t...
Distributed statistical learning is a common strategy for handling massi...
Complex Knowledge Base Question Answering is a popular area of research ...
Many business documents processed in modern NLP and IR pipelines are vis...
Portfolio optimization is a financial task which requires the allocation...
Relation classification is an important NLP task to extract relations be...
End-to-end training has been a popular approach for knowledge base quest...
This paper contributes a joint embedding model for predicting relations
...