Will Monroe

A Simple, Fast Diverse Decoding Algorithm for Neural Generation

2016 · arXiv (Cornell University)

In this paper, we propose a simple, fast decoding algorithm that fosters diversity in neural generation. The algorithm modifies the standard beam search algorithm by adding an inter-sibling ranking penalty, favoring choosing hypotheses from diverse …

Adversarial Learning for Neural Dialogue Generation

2017 · arXiv (Cornell University)

In this paper, drawing intuition from the Turing test, we propose using adversarial training for open-domain dialogue generation: the system is trained to produce sequences that are indistinguishable from human-generated dialogue utterances. We cast the …