Specifically, we propose a novel language model called Topical Influence Language Model (TILM), which is a novel extension of a neural language model to capture the influence on the contents in one text stream by the evolving topics in another related (or possibly same) text stream.
tILM is a recurrent neural network-based deep learning architecture that incorporates topical influence to model the generation of a dynamically evolving text stream.