Scaling Hidden Markov Language Models
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[1] Yoshua Bengio,et al. A Neural Probabilistic Language Model , 2003, J. Mach. Learn. Res..
[2] Daniel Marcu,et al. Unsupervised Neural Hidden Markov Models , 2016, SPNLP@EMNLP.
[3] Robert L. Mercer,et al. Class-Based n-gram Models of Natural Language , 1992, CL.
[4] Bernard Mérialdo,et al. Tagging English Text with a Probabilistic Model , 1994, CL.
[5] Alexander M. Rush,et al. Learning Neural Templates for Text Generation , 2018, EMNLP.
[6] Geoffrey Zweig,et al. Context dependent recurrent neural network language model , 2012, 2012 IEEE Spoken Language Technology Workshop (SLT).
[7] Lukás Burget,et al. Empirical Evaluation and Combination of Advanced Language Modeling Techniques , 2011, INTERSPEECH.
[8] Dan Klein,et al. Learning Accurate, Compact, and Interpretable Tree Annotation , 2006, ACL.
[9] Richard Socher,et al. Quasi-Recurrent Neural Networks , 2016, ICLR.
[10] Sanjeev Saxena,et al. On Parallel Prefix Computation , 1994, Parallel Process. Lett..
[11] Richard Socher,et al. Pointer Sentinel Mixture Models , 2016, ICLR.
[12] Hermann Ney,et al. HMM-Based Word Alignment in Statistical Translation , 1996, COLING.
[13] Alexander M. Rush,et al. Compound Probabilistic Context-Free Grammars for Grammar Induction , 2019, ACL.
[14] Wojciech Zaremba,et al. Recurrent Neural Network Regularization , 2014, ArXiv.
[15] Heinrich Niemann,et al. Ergodic hidden Markov models and polygrams for language modeling , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.
[16] Richard Socher,et al. Regularizing and Optimizing LSTM Language Models , 2017, ICLR.
[17] Beatrice Santorini,et al. Building a Large Annotated Corpus of English: The Penn Treebank , 1993, CL.
[18] Haichen Shen,et al. TVM: An Automated End-to-End Optimizing Compiler for Deep Learning , 2018 .
[19] Percy Liang,et al. Semi-Supervised Learning for Natural Language , 2005 .
[20] Yejin Choi,et al. Bridging HMMs and RNNs through Architectural Transformations , 2018 .
[21] Kewei Tu,et al. Dependency Grammar Induction with Neural Lexicalization and Big Training Data , 2017, EMNLP.
[22] Finale Doshi-Velez,et al. Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models , 2016, ArXiv.
[23] Wolfgang Lehrach,et al. Learning higher-order sequential structure with cloned HMMs , 2019, ArXiv.
[24] Frank Hutter,et al. Fixing Weight Decay Regularization in Adam , 2017, ArXiv.
[25] Karl Stratos,et al. Discrete Latent Variable Representations for Low-Resource Text Classification , 2020, ACL.
[26] Philipp Koehn,et al. Scalable Modified Kneser-Ney Language Model Estimation , 2013, ACL.
[27] Zhongqiang Huang,et al. Modeling Dependencies in Natural Languages with Latent Variables , 2011 .