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Kyunghyun Cho

Associate Professor of Computer Science and Data Science

    20102021

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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

    • 2020

      A stable and effective learning strategy for trainable greedy decoding

      Chen, Y., Li, V. O. K., Cho, K. & Bowman, S. R., Jan 1 2020, 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

    • 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

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

      Han, R., Spirling, A., Gill, M. & Cho, K., Jan 1 2020, 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

    • Countering language drift via visual grounding

      Lee, J., Cho, K. & Kiela, D., 2020, 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

    • Deterministic non-autoregressive neural sequence modeling by iterative refinement

      Lee, J., Mansimov, E. & Cho, K., Jan 1 2020, 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

    • 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

    • Dynamic meta-embeddings for improved sentence representations

      Kiela, D., Wang, C. & Cho, K., Jan 1 2020, 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

    • Emergent linguistic phenomena in multi-agent communication games

      Graesser, L., Cho, K. & Kiela, D., 2020, 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., 2020, 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

    • 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

    • Grammar induction with neural language models: An unusual replication

      Htut, P. M., Cho, K. & Bowman, S. R., Jan 1 2020, 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

    • 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

    • 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 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

    • Meta-learning for low-resource neural machine translation

      Gu, J., Wang, Y., Chen, Y., Cho, K. & Li, V. O. K., Jan 1 2020, 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., Jan 1 2020, 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

    • 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

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

      Kann, K., Cho, K. & Bowman, S. R., 2020, 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

    • 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

      Open Access
    • 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

    • 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

    • 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, p. 18-26 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11861 LNCS).

      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
    • 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

    • 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

    • 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

    • 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

    • The NYU system for the CoNLL–SIGMORPHON 2018 shared task on universal morphological reinflection

      Kann, K., Lauly, S. & Cho, K., Jan 1 2018, CoNLL 2018 - Proceedings of the CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection. Association for Computational Linguistics (ACL), p. 58-63 6 p. (CoNLL 2018 - Proceedings of the CoNLL-SIGMORPHON 2018 Shared Task: Universal Morphological Reinflection).

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

    • Zero-shot transfer learning for event extraction

      Huang, L., Ji, H., Cho, K., Dagan, I., Riedel, S. & Voss, C. R., 2018, ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers). Association for Computational Linguistics (ACL), p. 2160-2170 11 p. (ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 1).

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

      Open Access
    • 2017

      Convolutional recurrent neural networks for music classification

      Choi, K., Fazekas, G., Sandler, M. & Cho, K., Jun 16 2017, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2392-2396 5 p. 7952585. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

    • Learning to parse and translate improves neural machine translation

      Eriguchi, A., Tsuruoka, Y. & Cho, K., 2017, ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Short Papers). Association for Computational Linguistics (ACL), p. 72-78 7 p. (ACL 2017 - 55th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference (Long Papers); vol. 2).

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

    • Learning to translate in real-time with neural machine translation

      Gu, J., Neubig, G., Cho, K. & Li, V. O. K., 2017, Long Papers - Continued. Association for Computational Linguistics (ACL), p. 1053-1062 10 p. (15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of Conference; vol. 1).

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

      Open Access
    • Nematus: A toolkit for neural machine translation

      Sennrich, R., Firat, O., Cho, K., Birch, A., Haddow, B., Hitschler, J., Junczys-Dowmunt, M., Läubli, S., Barone, A. V. M., Mokry, J. & Nǎdejde, M., 2017, 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Software Demonstrations. Penas, A. & Martins, A. (eds.). Association for Computational Linguistics (ACL), p. 65-68 4 p. (15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017 - Proceedings of the Software Demonstrations).

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

      Open Access
    • Task-oriented query reformulation with reinforcement learning

      Nogueira, R. & Cho, K., Jan 1 2017, EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 574-583 10 p. (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

    • Trainable greedy decoding for neural machine translation

      Gu, J., Cho, K. & Li, V. O. K., 2017, EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 1968-1978 11 p. (EMNLP 2017 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

      Open Access
    • Transfer learning for music classification and regression tasks

      Choi, K., Fazekas, G., Sandler, M. & Cho, K., 2017, Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017. Cunningham, S. J., Duan, Z., Hu, X. & Turnbull, D. (eds.). International Society for Music Information Retrieval, p. 141-149 9 p. (Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017).

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

    • 2016

      A character-level decoder without explicit segmentation for neural machine translation

      Chung, J., Cho, K. & Bengio, Y., 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), p. 1693-1703 11 p. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; vol. 3).

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

      Open Access
    • A correlational encoder decoder architecture for pivot based sequence generation

      Saha, A., Khapra, M. M., Chandar, S., Rajendran, J. & Cho, K., 2016, COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers. Association for Computational Linguistics, ACL Anthology, p. 109-118 10 p. (COLING 2016 - 26th International Conference on Computational Linguistics, Proceedings of COLING 2016: Technical Papers).

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

    • Gated word-character recurrent language model

      Miyamoto, Y. & Cho, K., Jan 1 2016, EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings. Association for Computational Linguistics (ACL), p. 1992-1997 6 p. (EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings).

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

    • Joint event extraction via recurrent neural networks

      Nguyen, T. H., Cho, K. & Grishman, R., 2016, 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 300-309 10 p. (2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference).

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

      Open Access
    • Larger-context language modelling with recurrent neural network

      Wang, T. & Cho, K., 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), p. 1319-1329 11 p. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; vol. 3).

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

      Open Access
    • Learning distributed representations of sentences from unlabelled data

      Hill, F., Cho, K. & Korhonen, A., 2016, 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 1367-1377 11 p. (2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2016 - Proceedings of the Conference).

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

    • Multimodal fusion of brain structural and functional imaging with a deep neural machine translation approach

      Amin, M. F., Plis, S. M., Damaraju, E., Hjelm, D., Cho, K. & Calhoun, V. D., Apr 25 2016, 2016 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-4 4 p. 7459160. (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; vol. 2016-April).

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

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