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Unsupervised Neural Hidden Markov Models
September 28, 2016 ยท Declared Dead ยท ๐ SPNLP@EMNLP
"No code URL or promise found in abstract"
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Authors
Ke Tran, Yonatan Bisk, Ashish Vaswani, Daniel Marcu, Kevin Knight
arXiv ID
1609.09007
Category
cs.CL: Computation & Language
Cross-listed
cs.LG
Citations
60
Venue
SPNLP@EMNLP
Last Checked
5 months ago
Abstract
In this work, we present the first results for neuralizing an Unsupervised Hidden Markov Model. We evaluate our approach on tag in- duction. 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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