Denny Britz

Effective Domain Mixing for Neural Machine Translation

2017

Neural Machine Translation (NMT) models are often trained on heterogeneous mixtures of domains, from news to parliamentary proceedings, each with unique distributions and language. In this work we show that training NMT systems on naively …

Massive Exploration of Neural Machine Translation Architectures

2017 · arXiv (Cornell University)

Neural Machine Translation (NMT) has shown remarkable progress over the past few years, with production systems now being deployed to end-users. As the field is moving rapidly, it has become unclear which elements of NMT …

Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models

2017

Sequence-to-sequence models have been applied to the conversation response generation problem where the source sequence is the conversation history and the target sequence is the response. Unlike translation, conversation responding is inherently creative. The generation …