Unsupervised Neural Hidden Markov Models
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- CoRR
دوره abs/1609.09007 شماره
صفحات -
تاریخ انتشار 2016