General translation models often still struggle to generate accurate
tra...
This paper provides an overview of NVIDIA NeMo's neural machine translat...
We investigate multi-scale transformer language models that learn
repres...
We present a method to produce abstractive summaries of long documents t...
Neural generative models have been become increasingly popular when buil...
Machine learning promises methods that generalize well from finite label...
The dominant approach to unsupervised "style transfer" in text is based ...
In the light of exponentially increasing video content, video summarizat...
Beyond word embeddings, continuous representations of knowledge graph (K...
Deep networks have achieved impressive results across a variety of impor...
A lot of the recent success in natural language processing (NLP) has bee...
We present MILABOT: a deep reinforcement learning chatbot developed by t...
We present MILABOT: a deep reinforcement learning chatbot developed by t...
We propose a two-stage neural model to tackle question generation from
d...
Generative Adversarial Networks (GANs) have gathered a lot of attention ...
At present, the vast majority of building blocks, techniques, and
archit...
We propose a recurrent neural model that generates natural-language ques...
State-of-the-art named entity recognition systems rely heavily on
hand-c...