A primer on neural network models for natural language processing
Y Goldberg - Journal of Artificial Intelligence Research, 2016 - jair.org
Over the past few years, neural networks have re-emerged as powerful machine-learning
models, yielding state-of-the-art results in fields such as image recognition and speech …
models, yielding state-of-the-art results in fields such as image recognition and speech …
[PDF][PDF] A Critical Review of Recurrent Neural Networks for Sequence Learning
ZC Lipton - arxiv Preprint, CoRR, abs/1506.00019, 2015 - arxiv.org
Countless learning tasks require awareness of time. Image captioning, speech synthesis,
and video game playing all require that a model generate sequences of outputs. In other …
and video game playing all require that a model generate sequences of outputs. In other …
Building end-to-end dialogue systems using generative hierarchical neural network models
We investigate the task of building open domain, conversational dialogue systems based on
large dialogue corpora using generative models. Generative models produce system …
large dialogue corpora using generative models. Generative models produce system …
[PDF][PDF] Sequence to Sequence Learning with Neural Networks
I Sutskever - arxiv preprint arxiv:1409.3215, 2014 - dl1.icdst.org
Abstract Deep Neural Networks (DNNs) are powerful models that have achieved excellent
performance on difficult learning tasks. Although DNNs work well whenever large labeled …
performance on difficult learning tasks. Although DNNs work well whenever large labeled …