Reference-Aware Language Models

Understand

We propose a general class of language models that treat reference as an explicit stochastic latent variable.

• This architecture allows models to create mentions of entities and their attributes by accessing external databases (required by, e.g., dialogue generation and recipe generation) and internal state (required by, e.g.
• language models which are aware of coreference).
• This facilitates the incorporation of information that can be accessed in predictable locations in databases or discourse context, even when the targets of the reference may be rare words.