Unsupervised Neural Hidden Markov Models
Ke M. Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, Kevin K. Knight · 2016
In this work, we present the first results for neuralizing an Unsupervised Hidden Markov Model.We evaluate our approach on tag induction.Our approach outperforms existing generative models and is competitive with the state-of-the-art though with a simpler model easily extended to include additional context.