mlsanityData to 7 Oct 2026

Unsupervised Neural Hidden Markov Models

arXiv 1609.09007 ↗First posted 28 Sep 2016cs.CL cs.LGcited by 19

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Abstract (arXiv)

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.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Sep 2016.

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Citing papers per year: 2021: 7; 2022: 6; 2023: 2; 2024: 2; 2025: 0; 2026: 2.

19 papers.

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  1. 2021Sequence-to-Sequence Learning with Latent Neural Grammarscited by 30
  2. 2021PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbolscited by 22
  3. 2021BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognitioncited by 15
  4. 2021Neural HMMs are all you need (for high-quality attention-free TTS)cited by 8
  5. 2022OverFlow: Putting flows on top of neural transducers for better TTScited by 8
  6. 2022Prosody-controllable spontaneous TTS with neural HMMscited by 7
  7. 2021Introducing the Hidden Neural Markov Chain frameworkcited by 6
  8. 2021On the Stochastic Stability of Deep Markov Modelscited by 4
  9. 2022Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognitioncited by 4
  10. 2023SynJax: Structured Probability Distributions for JAXcited by 2
  11. 2022Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Taggingcited by 1
  12. 2022Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Modelscited by 1
7 more
  1. 2021Unsupervised Neural Hidden Markov Models with a Continuous latent state spacecited by 0
  2. 2022Masked Part-Of-Speech Model: Does Modeling Long Context Help Unsupervised POS-tagging?cited by 0
  3. 2023Review of Unsupervised POS Tagging and Its Implications on Language Acquisitioncited by 0
  4. 2024Unsupervised Learning of Harmonic Analysis Based on Neural HSMM with Code Quality Templatescited by 0
  5. 2024Character-Level Chinese Dependency Parsing via Modeling Latent Intra-Word Structurecited by 0
  6. 2026DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processescited by 0
  7. 2026Differentiable Clone-Structured Causal Graphs for End-to-End Cognitive Map Learning from Image Sequencescited by 0