We introduce string2string, an open-source library that offers a
compreh...
Innovation is a major driver of economic and social development, and
inf...
We introduce three memory-augmented Recurrent Neural Networks (MARNNs) a...
Popular Natural Language Inference (NLI) datasets have been shown to be
...
Natural Language Inference (NLI) datasets often contain hypothesis-only
...
In this paper, we systematically assess the ability of standard recurren...
Recurrent Neural Networks (RNNs) are theoretically Turing-complete and
e...
While neural, encoder-decoder models have had significant empirical succ...
In a controlled experiment of sequence-to-sequence approaches for the ta...
Recent neural models have shown significant progress on the problem of
g...
Recent work on word ordering has argued that syntactic structure is
impo...
We demonstrate that an attention-based encoder-decoder model can be used...
There is compelling evidence that coreference prediction would benefit f...