Unsupervised Neural Hidden Markov Models

28 September 2016

Papers citing "Unsupervised Neural Hidden Markov Models"

21 / 21 papers shown

Title
Review of Unsupervised POS Tagging and Its Implications on Language Acquisition Niels Dickson 17 0 0 15 Dec 2023
Prosody-controllable spontaneous TTS with neural HMMs Harm Lameris Shivam Mehta G. Henter Joakim Gustafson Éva Székely 66 15 0 24 Nov 2022
OverFlow: Putting flows on top of neural transducers for better TTS Shivam Mehta Ambika Kirkland Harm Lameris Jonas Beskow Éva Székely G. Henter AI4TS 107 13 0 13 Nov 2022
Learning Dependencies of Discrete Speech Representations with Neural Hidden Markov Models Sung-Lin Yeh Hao Tang SSL BDL 59 1 0 29 Oct 2022
Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition Yinghao Li Le Song Chao Zhang 73 12 0 27 May 2022
Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging Houquan Zhou Yang Li Zhenghua Li Min Zhang BDL 54 3 0 19 Mar 2022
Sequence-to-Sequence Learning with Latent Neural Grammars Yoon Kim 168 40 0 02 Sep 2021
Neural HMMs are all you need (for high-quality attention-free TTS) Shivam Mehta Éva Székely Jonas Beskow G. Henter 102 18 0 30 Aug 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition Yinghao Li Pranav Shetty Lu Liu Chao Zhang Le Song NoLa 84 35 0 26 May 2021
PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols Aaron Courville Yanpeng Zhao Kewei Tu 67 25 0 28 Apr 2021
DenseHMM: Learning Hidden Markov Models by Learning Dense Representations Joachim Sicking Maximilian Pintz Maram Akila Tim Wirtz 64 1 0 17 Dec 2020
Scaling Hidden Markov Language Models Justin T. Chiu Alexander M. Rush BDL 125 25 0 09 Nov 2020
Second-Order Unsupervised Neural Dependency Parsing Aaron Courville Yong Jiang Wenjuan Han Kewei Tu 57 18 0 28 Oct 2020
Scalable Hybrid HMM with Gaussian Process Emission for Sequential Time-series Data Clustering Yohan Jung Jinkyoo Park 42 1 0 07 Jan 2020
Fast Structured Decoding for Sequence Models Zhiqing Sun Zhuohan Li Haoqing Wang Zi Lin Di He Zhihong Deng 96 122 0 25 Oct 2019
Compound Probabilistic Context-Free Grammars for Grammar Induction Yoon Kim Chris Dyer Alexander M. Rush 139 153 0 24 Jun 2019
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 121 42 0 17 Dec 2018
Learning Neural Templates for Text Generation Sam Wiseman Stuart M. Shieber Alexander M. Rush 140 201 0 30 Aug 2018
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections Junxian He Graham Neubig Taylor Berg-Kirkpatrick BDL 57 41 0 28 Aug 2018
Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction K. Stratos 49 26 0 20 Apr 2018
Sequence Prediction with Neural Segmental Models Hao Tang 89 2 0 05 Sep 2017