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Kyunghyun Cho

Associate Professor of Computer Science and Data Science

    20102022

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    • 2021

      AdapterFusion: Non-destructive task composition for transfer learning

      Pfeiffer, J., Kamath, A., Rücklé, A., Cho, K. & Gurevych, I., 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 487-503 17 p. (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Analyzing the forgetting problem in pretrain-finetuning of open-domain dialogue response models

      He, T., Ott, M., Liu, B., Liu, J., Glass, J., Cho, K. & Peng, F., 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1121-1133 13 p. (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Causal BERT: Improving object detection by searching for challenging groups

      Resnick, C., Litany, O., Kar, A., Kreis, K., Lucas, J., Cho, K. & Fidler, S., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021. Institute of Electrical and Electronics Engineers Inc., p. 2972-2981 10 p. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2021-October).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Comparing test sets with item response theory

      Vania, C., Htut, P. M., Huang, W., Mungra, D., Pang, R. Y., Phang, J., Liu, H., Cho, K. & Bowman, S. R., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1141-1158 18 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Length-adaptive transformer: Train once with length drop, use anytime with search

      Kim, G. & Cho, K., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 6501-6511 11 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • MLE-Guided Parameter Search for Task Loss Minimization in Neural Sequence Modeling

      Welleck, S. & Cho, K., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 14032-14040 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 16).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Monotonic Simultaneous Translation with Chunk-wise Reordering and Refinement

      Han, H., Ahn, S., Choi, Y., Chung, I., Kim, S. & Cho, K., 2021, WMT 2021 - 6th Conference on Machine Translation, Proceedings. Association for Computational Linguistics (ACL), p. 1110-1123 14 p. (WMT 2021 - 6th Conference on Machine Translation, Proceedings).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Neural unsupervised parsing beyond english

      Kann, K., Mohananey, A., Cho, K. & Bowman, S. R., 2021, DeepLo@EMNLP-IJCNLP 2019 - Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing - Proceedings. Association for Computational Linguistics (ACL), p. 209-218 10 p. (DeepLo@EMNLP-IJCNLP 2019 - Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing - Proceedings).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • The Future is not One-dimensional: Complex Event Schema Induction by Graph Modeling for Event Prediction

      Li, M., Li, S., Wang, Z., Huang, L., Cho, K., Ji, H., Han, J. & Voss, C., 2021, EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 5203-5215 13 p. (EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • True Few-Shot Learning with Language Models

      Perez, E., Kiela, D. & Cho, K., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 11054-11070 17 p. (Advances in Neural Information Processing Systems; vol. 14).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2020

      Attention-based CNN for KL Grade Classification: Data from the Osteoarthritis Initiative

      Zhang, B., Tan, J., Cho, K., Chang, G. & Deniz, C. M., Apr 2020, ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 731-735 5 p. 9098456. (Proceedings - International Symposium on Biomedical Imaging; vol. 2020-April).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Capacity, bandwidth, and compositionality in emergent language learning

      Resnick, C., Gupta, A., Foerster, J., Dai, A. M. & Cho, K., 2020, Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2020. An, B., El Fallah Seghrouchni, A. & Sukthankar, G. (eds.). International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1125-1133 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 2020-May).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Connecting the dots: Event graph schema induction with path language modeling

      Li, M., Zeng, Q., Lin, Y., Cho, K., Ji, H., May, J., Chambers, N. & Voss, C., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 684-695 12 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Consistency of a recurrent language model with respect to incomplete decoding

      Welleck, S., Kulikov, I., Kim, J., Pang, R. Y. & Cho, K., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 5553-5568 16 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Dialogue natural language inference

      Welleck, S., Weston, J., Szlam, A. & Cho, K., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3731-3741 11 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Generating diverse translations with sentence codes

      Shu, R., Nakayama, H. & Cho, K., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1823-1827 5 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Improved zero-shot neural machine translation via ignoring spurious correlations

      Gu, J., Wang, Y., Cho, K. & Li, V. O. K., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1258-1268 11 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Iterative refinement in the continuous space for non-autoregressive neural machine translation

      Lee, J., Shu, R. & Cho, K., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1006-1015 10 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Latent-variable non-autoregressive neural machine translation with deterministic inference using a delta posterior

      Shu, R., Lee, J., Nakayama, H. & Cho, K., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 8846-8853 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Learning Non-Monotonic Automatic Post-Editing of Translations from Human Orderings

      Ǵois, A., Cho, K. & Martins, A., 2020, Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, EAMT 2020. Martins, A., Moniz, H., Fumega, S., Martins, B., Batista, F., Coheur, L., Parra Escartiin, C., Trancoso, I., Turchi, M., Bisazza, A., Moorkens, J., Guerberof, A., Nurminen, M., Marg, L. & Forcada, M. L. (eds.). European Association for Machine Translation, p. 205-214 10 p. (Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, EAMT 2020).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Learning to learn morphological inflection for resource-poor languages

      Kann, K., Bowman, S. R. & Cho, K., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 8058-8065 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Neural machine translation with byte-level subwords

      Wang, C., Cho, K. & Gu, J., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 9154-9160 7 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation

      Tan, J., Zhang, B., Cho, K., Chang, G. & Deniz, C. M., 2020, Medical Imaging 2020: Computer-Aided Diagnosis. Hahn, H. K. & Mazurowski, M. A. (eds.). SPIE, 113140P. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11314).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • SSMBA: Self-supervised manifold based data augmentation for improving out-of-domain robustness

      Ng, N., Cho, K. & Ghassemi, M., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1268-1283 16 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Unsupervised question decomposition for question answering

      Perez, E., Lewis, P., Yih, W. T., Cho, K. & Kiela, D., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 8864-8880 17 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2019

      Attention-based mixture density recurrent networks for history-based recommendation

      Wang, T., Cho, K. & Wen, M., Aug 5 2019, 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data: Bridging Theory and Practice, DLP 2019 with KDD 2019. Association for Computing Machinery, 3341254. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Classifier-Agnostic saliency map extraction

      Zolna, K., Geras, K. J. & Cho, K., 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 10087-10088 2 p. (33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Countering language drift via visual grounding

      Lee, J., Cho, K. & Kiela, D., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 4385-4395 11 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Deep unsupervised drum transcription

      Choi, K. & Cho, K., 2019, Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019. Flexer, A., Peeters, G., Urbano, J. & Volk, A. (eds.). International Society for Music Information Retrieval, p. 183-191 9 p. (Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Emergent linguistic phenomena in multi-agent communication games

      Graesser, L., Cho, K. & Kiela, D., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 3700-3710 11 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Finding generalizable evidence by learning to convince Q&A models

      Perez, E., Karamcheti, S., Fergus, R., Weston, J., Kiela, D. & Cho, K., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 2402-2411 10 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Globally-Aware Multiple Instance Classifier for Breast Cancer Screening

      Shen, Y., Wu, N., Phang, J., Park, J., Kim, G., Moy, L., Cho, K. & Geras, K. J., 2019, Machine Learning in Medical Imaging - 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Proceedings. Suk, H-I., Liu, M., Lian, C. & Yan, P. (eds.). Springer, Vol. 11861. p. 18-26 9 p. (Machine learning in medical imaging. MLMI (Workshop)).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Importance of search and evaluation strategies in neural dialogue modeling

      Kulikov, I., Miller, A. H., Cho, K. & Weston, J., 2019, INLG 2019 - 12th International Conference on Natural Language Generation, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 76-87 12 p. (INLG 2019 - 12th International Conference on Natural Language Generation, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Non-monotonic sequential text generation

      Welleck, S., Brantley, K., Daumé, H. & Cho, K., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 11656-11676 21 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Retrieval-augmented convolutional neural networks against adversarial examples

      Zhao, J. J. & Cho, K., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 11555-11563 9 p. 8953314. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Sequential graph dependency parser

      Welleck, S. & Cho, K., 2019, International Conference on Recent Advances in Natural Language Processing in a Deep Learning World, RANLP 2019 - Proceedings. Angelova, G., Mitkov, R., Nikolova, I., Temnikova, I. & Temnikova, I. (eds.). Incoma Ltd, p. 1338-1345 8 p. (International Conference Recent Advances in Natural Language Processing, RANLP; vol. 2019-September).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

      Open Access
    • Towards realistic practices in low-resource natural language processing: The development set

      Kann, K., Cho, K. & Bowman, S. R., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 3342-3349 8 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • 2018

      A comparison of audio signal preprocessing methods for deep neural networks on music tagging

      Choi, K., Fazekas, G., Sandler, M. & Cho, K., Nov 29 2018, 2018 26th European Signal Processing Conference, EUSIPCO 2018. European Signal Processing Conference, EUSIPCO, p. 1870-1874 5 p. 8553106. (European Signal Processing Conference; vol. 2018-September).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • A stable and effective learning strategy for trainable greedy decoding

      Chen, Y., Li, V. O. K., Cho, K. & Bowman, S. R., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 380-390 11 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Breast density classification with deep convolutional neural networks

      Wu, N., Geras, K. J., Shen, Y., Su, J., Kim, S. G., Kim, E., Wolfson, S., Moy, L. & Cho, K., Sep 10 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6682-6686 5 p. 8462671. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2018-April).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Conditional word embedding and hypothesis testing via bayes-by-backprop

      Han, R., Spirling, A., Gill, M. & Cho, K., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 4890-4895 6 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Deterministic non-autoregressive neural sequence modeling by iterative refinement

      Lee, J., Mansimov, E. & Cho, K., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 1173-1182 10 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Dynamic meta-embeddings for improved sentence representations

      Kiela, D., Wang, C. & Cho, K., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 1466-1477 12 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Grammar induction with neural language models: An unusual replication

      Htut, P. M., Cho, K. & Bowman, S. R., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 4998-5003 6 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Grammar Induction with Neural Language Models: An Unusual Replication

      Htut, P. M., Cho, K. & Bowman, S. R., 2018, EMNLP 2018 - 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 1st Workshop. Association for Computational Linguistics (ACL), p. 371-373 3 p. (EMNLP 2018 - 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 1st Workshop).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Jump to better conclusions: SCAN both left and right

      Bastings, J., Baroni, M., Weston, J., Cho, K. & Kiela, D., 2018, EMNLP 2018 - 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 1st Workshop. Association for Computational Linguistics (ACL), p. 47-55 9 p. (EMNLP 2018 - 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Proceedings of the 1st Workshop).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Letting a neural network decide which machine translation system to use for black-box fuzzy-match repair

      Ortega, J. E., Lu, W., Meyers, A. & Cho, K., Jan 1 2018, EAMT 2018 - Proceedings of the 21st Annual Conference of the European Association for Machine Translation. Perez-Ortiz, J. A., Sanchez-Martinez, F., Espla-Gomis, M., Popovic, M., Rico, C., Martins, A., Van den Bogaert, J. & Forcada, M. L. (eds.). European Association for Machine Translation, p. 209-218 10 p. (EAMT 2018 - Proceedings of the 21st Annual Conference of the European Association for Machine Translation).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Meta-learning for low-resource neural machine translation

      Gu, J., Wang, Y., Chen, Y., Cho, K. & Li, V. O. K., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 3622-3631 10 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Multi-lingual common semantic space construction via cluster-consistent word embedding

      Huang, L., Cho, K., Zhang, B., Ji, H. & Knight, K., 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018. Riloff, E., Chiang, D., Hockenmaier, J. & Tsujii, J. (eds.). Association for Computational Linguistics, p. 250-260 11 p. (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, EMNLP 2018).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

    • Search engine guided neural machine translation

      Gu, J., Wang, Y., Cho, K. & Li, V. O. K., 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 5133-5140 8 p. (32nd AAAI Conference on Artificial Intelligence, AAAI 2018).

      Research output: Chapter in Book/Report/Conference proceedingConference contribution

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