We introduce ART, a new corpus-level autoencoding approach for training ...
We propose a simple and effective re-ranking method for improving passag...
We present an end-to-end differentiable training method for
retrieval-au...
Recent work on training neural retrievers for open-domain question answe...
Prior work on automated question generation has almost exclusively focus...
In this paper, we study bidirectional LSTM network for the task of text
...
Much recent work suggests that incorporating syntax information from
dep...
We introduce Texar, an open-source toolkit aiming to support the broad s...
In multilingual neural machine translation, it has been shown that shari...
The performance of Neural Machine Translation (NMT) systems often suffer...
The performance of Neural Machine Translation (NMT) systems often suffer...
This paper describes XNMT, the eXtensible Neural Machine Translation too...
Text classification is one of the most widely studied task in natural
la...
Biomedical named entity recognition (NER) is a fundamental task in text
...
Distributed representations of words and paragraphs as semantic embeddin...