Chunting Zhou

I am a PhD student of the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University, where I work on Natural Lanuage Processing. My PhD advisor is Graham Neubig.

I am interested in semi-supervised and unsupervised learning. Recently I work on generative models and its applications to Natural Language Processing tasks.

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Publications

Understanding Knowledge Distillation in Non-autoregressive Machine Translation
Under review of ICLR , 2020
open review /



FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Xuezhe Ma*, Chunting Zhou*, Xian Li, Graham Neubig, Eduard Hovy
In proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
* equal contribution
arxiv / code



Handling Syntactic Divergence in Low-Resource Machine Translation
Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig
In proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
arxiv / code



Density Matching for Bilingual Word Embedding
Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig
In proceedings of the Conference on the North American Chapter of the Association for Computational Linguistics (NAACL), 2019
arxiv / code



MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders
Xuezhe Ma, Chunting Zhou, Eduard Hovy
In proceedings of 7th International Conference on Learning Representations (ICLR), 2019
arxiv / code



Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations
Aditi Chaudhary, Chunting Zhou, Lori Levin, Graham Neubig, David R. Mortensen, Jaime G. Carbonell
In proceedings of Conference on Empirical Methods for Natural Language Processing (EMNLP), 2018
arxiv / code



StructVAE: Tree-structured Latent Variable Models for Semi-supervised Semantic Parsing
Pengcheng Yin, Chunting Zhou, Junxian He, Graham Neubig
In proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018
arxiv / code



Multi-space Variational Encoder-Decoders for Semi-supervised Labeled Sequence Transduction
Chunting Zhou and Graham Neubig
In proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (ACL), 2017
arxiv / code



Morphological Inflection Generation with Multi-space Variational Encoder-Decoders
Chunting Zhou and Graham Neubig
The 2017 SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2017
arxiv



Efficient methods for multi-label classification
Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2015
Chonglin sun, Chunting Zhou, Bo Jin, Francis C.M. Lau
arxiv



A C-LSTM neural network for text classification
Chunting Zhou, Chonglin sun, Zhiyuan Liu, Francis C.M. Lau
arxiv



Category enhanced word embedding
Chunting Zhou, Chonglin sun, Zhiyuan Liu, Francis C.M. Lau
arxiv



Research Experience

  • Facebook AI Research, Research Intern hosted by Jiatao Gu , Summer 2019

  • Tsinghua University, Visting Student hosted by Zhiyuan Liu , Winter 2015

  • Microsoft Research Asia, Research Intern hosted by Jinhui Yuan , Nov 2013 - May 2014

  • Design and source code from Leonid Keselman's website