We present a novel approach for structured data-to-text generation that
...
The open-ended Visual Question Answering (VQA) task requires AI models t...
Entities can be expressed in diverse formats, such as texts, images, or
...
Neural text-to-SQL models have achieved remarkable performance in transl...
Question answering over knowledge bases (KBs) aims to answer natural lan...
Most recent research on Text-to-SQL semantic parsing relies on either pa...
The current state-of-the-art generative models for open-domain question
...
Most recently, there has been significant interest in learning contextua...
Effective inference for a generative adversarial model remains an import...
Random forests are powerful non-parametric regression method but are sev...
Most recent neural semi-supervised learning algorithms rely on adding sm...
Neural network models have been very successful at achieving high accura...
Random forests are powerful non-parametric regression method but are sev...
This paper examines the role and efficiency of the non-convex loss funct...