Xiang Kong
Xiang Kong
Verified email at andrew.cmu.edu
Title
Cited by
Cited by
Year
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking rosetta” JSALT 2017 workshop
O Scharenborg, L Besacier, A Black, M Hasegawa-Johnson, F Metze, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
262018
ASR for under-resourced languages from probabilistic transcription
MA Hasegawa-Johnson, P Jyothi, D McCloy, M Mirbagheri, GM Di Liberto, ...
IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (1), 50-63, 2016
252016
Neural machine translation with adequacy-oriented learning
X Kong, Z Tu, S Shi, E Hovy, T Zhang
Proceedings of the AAAI Conference on Artificial Intelligence 33, 6618-6625, 2019
232019
Generalized data augmentation for low-resource translation
M Xia, X Kong, A Anastasopoulos, G Neubig
arXiv preprint arXiv:1906.03785, 2019
202019
A multidisciplinary approach to designing and evaluating Electronic Medical Record portal messages that support patient self-care
D Morrow, M Hasegawa-Johnson, T Huang, W Schuh, RFL Azevedo, ...
Journal of biomedical informatics 69, 63-74, 2017
202017
Evaluating automatic speech recognition systems in comparison with human perception results using distinctive feature measures
X Kong, JY Choi, S Shattuck-Hufnagel
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
192017
Macow: Masked convolutional generative flow
X Ma, X Kong, S Zhang, E Hovy
Advances in Neural Information Processing Systems, 5893-5902, 2019
182019
Bayesian models for unit discovery on a very low resource language
L Ondel, P Godard, L Besacier, E Larsen, M Hasegawa-Johnson, ...
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
172018
Performance Improvement of Probabilistic Transcriptions with Language-Specific Constraints
X Kong, P Jyothi, M Hasegawa-Johnson
The 5th International Workshop on Spoken Language Technologies for Under …, 2016
152016
An adversarial approach to high-quality, sentiment-controlled neural dialogue generation
X Kong, B Li, G Neubig, E Hovy, Y Yang
arXiv preprint arXiv:1901.07129, 2019
122019
Fast and simple mixture of softmaxes with bpe and hybrid-lightrnn for language generation
X Kong, Q Xie, Z Dai, E Hovy
Proceedings of the AAAI Conference on Artificial Intelligence 33, 6626-6633, 2019
112019
Landmark-based consonant voicing detection on multilingual corpora
X Kong, X Yang, M Hasegawa-Johnson, JY Choi, S Shattuck-Hufnagel
arXiv preprint arXiv:1611.03533, 2016
82016
Analysis of distinctive feature matching with random error generation in a lexical access system
X Kong, JY Choi, S Shattuck-Hufnagel
The Journal of the Acoustical Society of America 138 (3), 1780-1780, 2015
82015
Multilingual translation with extensible multilingual pretraining and finetuning
Y Tang, C Tran, X Li, PJ Chen, N Goyal, V Chaudhary, J Gu, A Fan
arXiv preprint arXiv:2008.00401, 2020
22020
Decompressing Knowledge Graph Representations for Link Prediction
X Kong, X Chen, E Hovy
arXiv preprint arXiv:1911.04053, 2019
22019
Incorporating a local translation mechanism into non-autoregressive translation
X Kong, Z Zhang, E Hovy
arXiv preprint arXiv:2011.06132, 2020
12020
Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade
J Gu, X Kong
arXiv preprint arXiv:2012.15833, 2020
2020
An Empirical Exploration of Local Ordering Pre-training for Structured Learning
Z Zhang, X Kong, L Levin, E Hovy
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
2020
Deep Transformers with Latent Depth
X Li, AC Stickland, Y Tang, X Kong
arXiv preprint arXiv:2009.13102, 2020
2020
A Two-Step Approach for Implicit Event Argument Detection
Z Zhang, X Kong, Z Liu, X Ma, E Hovy
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
2020
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Articles 1–20