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cs.CL2019
Memory-Augmented Recurrent Networks for Dialogue Coherence
David Donahue, Yuanliang Meng, Anna Rumshisky
Recent dialogue approaches operate by reading each word in a conversation history, and aggregating accrued dialogue information into a single state. This fixed-size vector is not e…
cs.CL2018
Adversarial Text Generation Without Reinforcement Learning
David Donahue, Anna Rumshisky
Generative Adversarial Networks (GANs) have experienced a recent surge in popularity, performing competitively in a variety of tasks, especially in computer vision. However, GAN tr…
cs.CL2018
Adversarial Decomposition of Text Representation
Alexey Romanov, Anna Rumshisky, Anna Rogers +1
In this paper, we present a method for adversarial decomposition of text representation. This method can be used to decompose a representation of an input sentence into several ind…