| 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 | 26 | 2018 |
| 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 | 25 | 2016 |
| 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 | 23 | 2019 |
| Generalized data augmentation for low-resource translation M Xia, X Kong, A Anastasopoulos, G Neubig arXiv preprint arXiv:1906.03785, 2019 | 20 | 2019 |
| 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 | 20 | 2017 |
| 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 | 19 | 2017 |
| Macow: Masked convolutional generative flow X Ma, X Kong, S Zhang, E Hovy Advances in Neural Information Processing Systems, 5893-5902, 2019 | 18 | 2019 |
| 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 | 17 | 2018 |
| 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 | 15 | 2016 |
| 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 | 12 | 2019 |
| 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 | 11 | 2019 |
| 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 | 8 | 2016 |
| 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 | 8 | 2015 |
| 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 | 2 | 2020 |
| Decompressing Knowledge Graph Representations for Link Prediction X Kong, X Chen, E Hovy arXiv preprint arXiv:1911.04053, 2019 | 2 | 2019 |
| Incorporating a local translation mechanism into non-autoregressive translation X Kong, Z Zhang, E Hovy arXiv preprint arXiv:2011.06132, 2020 | 1 | 2020 |
| 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 |
