The goal of our experiments is to show that the FactorCell model can deliver improved performance over current approaches for multiple language model applications and a variety of types of contexts.
results are reported for contextconditioned perplexity and generative model text classification accuracy, using contexts that capture a range of phenomena and dimensionalities.